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Bioinformatics (Oxford, England)|August 6, 2010
SPRINT: side-chain prediction inference toolbox for multistate protein designMenachem Fromer, Chen Yanover, Amir Harel, et al.
JAMIA Open|February 24, 2021
Framework for identifying drug repurposing candidates from observational healthcare dataMichal Ozery-Flato, Yaara Goldschmidt, Oded Shaham, et al.
Diabetology & Metabolic Syndrome|July 17, 2013
Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndromeMichal Ozery-Flato, Naama Parush, Tal El-Hay, et al.
BMC Medical Research Methodology|May 8, 2020
Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillationJenna M Reps, Ross D Williams, Seng Chan You, et al.
Digestive Diseases and Sciences|December 26, 2024
Characteristics and Outcomes of Over a Million Patients with Inflammatory Bowel Disease in Seven Countries: Multinational Cohort Study and Open Data ResourceChen Yanover, Ramit Magen-Rimon, Erica A Voss, et al.
Studies in Health Technology and Informatics|April 21, 2017
Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR DataMichal Ozery-Flato, Chen Yanover, Assaf Gottlieb, et al.
Trends in Pharmacological Sciences|September 25, 2013
Building better drugs: developing and regulating engineered therapeutic proteinsChava Kimchi-Sarfaty, Tal Schiller, Nobuko Hamasaki-Katagiri, et al.
Blood|November 20, 2014
The intron-22-inverted F8 locus permits factor VIII synthesis: explanation for low inhibitor risk and a role for pharmacogenomicsZuben E Sauna, Jay N Lozier, Carol K Kasper, et al.
JMIR Public Health and Surveillance|August 5, 2020
What Factors Increase the Risk of Complications in SARS-CoV-2-Infected Patients? A Cohort Study in a Nationwide Israeli Health OrganizationChen Yanover, Barak Mizrahi, Nir Kalkstein, et al.
Frontiers in Pharmacology|May 10, 2021
Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's DiseaseDaphna Laifenfeld, Chen Yanover, Michal Ozery-Flato, et al.
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