Translating clinical trial results into personalized recommendations by considering multiple outcomes and subjective views. - Noa Dagan; Chandra J. Cohen-Stavi; Meytal Avgil Tsadok; Morton Leibowitz; Moshe Hoshen; Tomas Karpati; Amichay Akriv; Ilan Gofer; Harel Gilutz; Eduardo Podjarny; Eitan Bachmat; Ran D. Balicer (npj Digit. Medicine, 2019)

ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models. - Seffi Cohen; Noa Dagan; Nurit Cohen-Inger; Dan Ofer; Lior Rokach (IEEE Access, 2021)

Addressing bias in prediction models by improving subpopulation calibration. - Noam Barda; Gal Yona; Guy N. Rothblum; Philip Greenland; Morton Leibowitz; Ran D. Balicer; Eitan Bachmat; Noa Dagan (J. Am. Medical Informatics Assoc., 2021)

Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs. - Noam Barda; Noa Dagan; Amos Stemmer; Janni Yuval; Eitan Bachmat; Eldad Elnekave; Ran D. Balicer (J. Digit. Imaging, 2022)

Multiaccuracy for Subpopulation Calibration Over Distribution Shift in Medical Prediction Models. - Daniel Kapash; Noam Barda; Omer Reingold; Noa Dagan; Ran D. Balicer (CHIL, 2025)

One Patient, Many Contexts: Scaling Medical AI Through Contextual Intelligence. - Michelle M. Li; Ben Y. Reis; Adam Rodman; Tianxi Cai; Noa Dagan; Ran D. Balicer; Joseph Loscalzo; Isaac S. Kohane; Marinka Zitnik (CoRR, 2025)