Noa Dagan

Noa Dagan, PhD

Director of Patient Data Core, DBMI Clalit Collaboration

Noa Dagan is a public health physician and medical informatics researcher. She holds an MD and an MPH from the Hebrew University and a Ph.D. in Computer Science from Ben-Gurion University. She completed her postdoc in the Department of Biomedical Informatics at Harvard Medical School.

Dr. Dagan heads the AI-driven Medicine Department at Clalit Innovation (Clalit is Israel's largest integrated healthcare organization, covering over 50% of the Israeli population). Her responsibilities include developing and implementing digital healthcare solutions to promote preventive, proactive, and personalized medicine. She leads the entire lifecycle of AI-driven interventions, from conception, through machine-learning modeling, to implementation in medical practice.

Dr. Dagan is also the co-director of the Digital Health Lab at the Software and Information Systems Engineering Department at Ben-Gurion University. Her research focuses on prediction models, algorithmic fairness, and causal inference based on real-world data.

BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting. Reply.
Authors: Barda N, Dagan N, Balicer RD.
N Engl J Med
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BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting.
Authors: Dagan N, Barda N, Kepten E, Miron O, Perchik S, Katz MA, HernĂ¡n MA, Lipsitch M, Reis B, Balicer RD.
N Engl J Med
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Addressing bias in prediction models by improving subpopulation calibration.
Authors: Barda N, Yona G, Rothblum GN, Greenland P, Leibowitz M, Balicer R, Bachmat E, Dagan N.
J Am Med Inform Assoc
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Developing a COVID-19 mortality risk prediction model when individual-level data are not available.
Authors: Barda N, Riesel D, Akriv A, Levy J, Finkel U, Yona G, Greenfeld D, Sheiba S, Somer J, Bachmat E, Rothblum GN, Shalit U, Netzer D, Balicer R, Dagan N.
Nat Commun
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Maternal age and cardiovascular and metabolic disease outcomes: a retrospective cohort study using data from population-based electronic medical records.
Authors: Feldman B, Orbach-Zinger S, Leventer-Roberts M, Hoshen M, Dagan N, Balicer R, Eidelman LA.
J Matern Fetal Neonatal Med
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Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization.
Authors: Dagan N, Elnekave E, Barda N, Bregman-Amitai O, Bar A, Orlovsky M, Bachmat E, Balicer RD.
Nat Med
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Translating clinical trial results into personalized recommendations by considering multiple outcomes and subjective views.
Authors: Dagan N, Cohen-Stavi CJ, Avgil Tsadok M, Leibowitz M, Hoshen M, Karpati T, Akriv A, Gofer I, Gilutz H, Podjarny E, Bachmat E, Balicer RD.
NPJ Digit Med
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External validation and comparison of three prediction tools for risk of osteoporotic fractures using data from population based electronic health records: retrospective cohort study.
Authors: Dagan N, Cohen-Stavi C, Leventer-Roberts M, Balicer RD.
BMJ
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Effects of Social Network Exposure on Nutritional Learning: Development of an Online Educational Platform.
Authors: Dagan N, Beskin D, Brezis M, Reis BY.
JMIR Serious Games
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Erbin is a negative modulator of cardiac hypertrophy.
Authors: Rachmin I, Tshori S, Smith Y, Oppenheim A, Marchetto S, Kay G, Foo RS, Dagan N, Golomb E, Gilon D, Borg JP, Razin E.
Proc Natl Acad Sci U S A
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