Ron Shamir
6 Papers
Ron Shamir is an academic researcher. The author has contributed to research in topics: Medicine & Computer science. The author has co-authored 5 publications.
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Papers
Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing
Andreas Maier,Michael Hartung,Mark Abovsky,Klaudia Adamowicz,Gary D. Bader,David Blumenthal,Jing Chen,Maria L. Elkjaer,Markus Hoffmann,Igor Jurisica,Max Kotlyar,Olga Lazareva,Hagai Levi,Markus List,Sebastian Lobentanzer,Joseph Loscalzo,Noël Malod-Dognin,Q. Manz,Julian Matschinske,Mhaned Oubounyt,Alexander R. Pico,Rudolf T. Pillich,Dexter Pratt,Sepideh Sadegh,Julio Saez-Rodriguez,Gideon M. Shaked,Ron Shamir,Nico Trummer,Uğur Turhan,Rui-Sheng Wang,O. Zolotareva,Jan Baumbach +31 more
TL;DR: Drugst.One as discussed by the authors is a platform that assists specialized computational medicine tools in becoming user-friendly, web-based utilities for drug repurposing, turning any system biology software into an interactive web tool for modeling and analyzing complex protein-drug-disease networks.
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Clustering of clinical and echocardiographic phenotypes of covid-19 patients
Eran Shpigelman,Aviram Hochstadt,Daan A De Coster,Ilan Merdler,Eihab Ghantous,Yishay Szekely,Yael Lichter,Philippe Taieb,Ariel Banai,Orly Sapir,Yoav Granot,Lior Lupu,Ariel Borohovitz,Sapir Sadon,Shmuel Banai,Ronen Rubinshtein,Yan Topilsky,Ron Shamir +17 more
TL;DR: In this paper , a k-prototypes algorithm applied to patients' clinical and imaging data at admission partitioned the patients into four phenotypical clusters: Clusters 0 and 1 were younger and healthier, 2 and 3 were older with worse cardiac indexes, and clusters 1 and 3 had a stronger inflammatory response.
T ime -d ependent i terative i mputation for m ul - tivariate l ongitudinal c linical d ata
TL;DR: Time-dependent iterative imputation (TDI) as discussed by the authors integrates forward-filling and Iterative Imputer for imputing time-series data by integrating patient, variable, and observation-specific dynamic weighting.
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Time-dependent Iterative Imputation for Multivariate Longitudinal Clinical Data
Omer Noy,Ron Shamir +1 more
TL;DR: Time-dependent iterative imputation (TDI) as mentioned in this paper integrates forward-filling and Iterative Imputer for imputing time-series data by integrating patient, variable, and observation-specific dynamic weighting.
Clustering of clinical-echocardiographic phenotypes of covid-19 disease using machine-learning techniques
TL;DR: COVID-19 manifests differently for distinctive clusters of patients that have an influence of disease manifestation and prognosis, as manifested by propensity for respiratory and hemodynamic support, but with similar survival.