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Nature Medicine|August 24, 2021
Personalized lab test models to quantify disease potentials in healthy individualsNetta Mendelson Cohen, Omer Schwartzman, Ram Jaschek, et al.
British Journal of Haematology|June 17, 2025
Can we identify individuals at risk to develop multiple myeloma? A machine learning-based predictive modelMoshe Mittelman, Ariel Israel, Howard S Oster, et al.
International Journal of Rehabilitation Research. Internationale Zeitschrift Fur Rehabilitationsforschung. Revue Internationale De Recherches De Readaptation|August 23, 2016
Correlates of well-being among caregivers of long-term community-dwelling stroke survivorsRachel Dankner, Yaacov G Bachner, Gary Ginsberg, et al.
Digestive Diseases and Sciences|April 25, 2024
Development and Validation of a Colorectal Cancer Prediction Model: A Nationwide Cohort-Based StudyOfer Isakov, Dan Riesel, Michael Leshchinsky, et al.
Journal of Medical Screening|November 3, 2011
Factors affecting compliance in faecal occult blood testing: a cluster randomized study of the faecal immunochemical test versus the guaiac faecal occult testShlomo Birkenfeld, Rachel Gingold Belfer, Miri Chared, et al.
Journal of Crohn'S & Colitis|August 4, 2025
Machine learning for predicting crohn's disease from routine blood tests years before diagnosis: results from the epi-IIRN cohortRaffi Lev-Tzion, Amir S Dolev, Shira Yuval Bar-Asher, et al.
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