David Page

James B. Duke Distinguished Professor

David Page works on algorithms for data mining and machine learning, as well as their applications to biomedical data, especially de-identified electronic health records and high-throughput genetic and other molecular data. Of particular interest are machine learning methods for complex multi-relational data (such as electronic health records or molecules as shown) and irregular temporal data, and methods that find causal relationships or produce human-interpretable output (such as the rules for molecular bioactivity shown in green to the side).

Appointments and Affiliations

  • James B. Duke Distinguished Professor
  • Professor of Biostatistics & Bioinformatics
  • Chair of Biostatistics & Bioinformatics

Contact Information

Education

  • Ph.D. University of Illinois, 1993

Awards, Honors, and Distinctions

  • Fellow of ACMI 2021. American Medical Informatics Association. 2021

Courses Taught

  • BIOSTAT 824: Case Studies in Biomedical Data Science
  • BIOSTAT 823: Statistical Program for Big Data

In the News

Representative Publications

  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.
  • Lanners, Q., H. Parikh, A. Volfovsky, C. Rudin, and D. Page. “Variable Importance Matching for Causal Inference.” In Proceedings of Machine Learning Research, 216:1174–84, 2023.
  • Berchuck, Samuel I., Alessandro A. Jammal, David Page, Tamara J. Somers, and Felipe A. Medeiros. “A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.” Transl Vis Sci Technol 11, no. 10 (October 3, 2022): 6. https://doi.org/10.1167/tvst.11.10.6.
  • Carroll, Molly J., Katja Kaipio, Johanna Hynninen, Olli Carpen, Sampsa Hautaniemi, David Page, and Pamela K. Kreeger. “A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer.” Cancers (Basel) 14, no. 17 (September 1, 2022). https://doi.org/10.3390/cancers14174291.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.” BMC Med Inform Decis Mak 22, no. 1 (June 10, 2022): 152. https://doi.org/10.1186/s12911-022-01896-5.
  • Movaghar, Arezoo, David Page, Murray Brilliant, and Marsha Mailick. “Response to Timothé Ménard.” Genet Med 24, no. 3 (March 2022): 752–53. https://doi.org/10.1016/j.gim.2021.10.023.