Functional gene groups are concentrated within chromosomes, among chromosomes and in the nuclear space of the human genome

por Thévenin, Annelyse, Ein-Dor, Liat, Ozery-Flato, Michal, Shamir, Ron
Publicado 2014

Large-scale analysis of chromosomal aberrations in cancer karyotypes reveals two distinct paths to aneuploidy

por Ozery-Flato, Michal, Linhart, Chaim, Trakhtenbrot, Luba, Izraeli, Shai, Shamir, Ron
Publicado 2011

Framework for identifying drug repurposing candidates from observational healthcare data

por Ozery-Flato, Michal, Goldschmidt, Yaara, Shaham, Oded, Ravid, Sivan, Yanover, Chen
Publicado 2020

A system for identifying and investigating unexpected response to treatment

por Ozery-Flato, Michal, Ein-Dor, Liat, Neuvirth, Hani, Parush, Naama, Kohn, Martin S., Hu, Jianying, Aharonov, Ranit
Publicado 2015

Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson’s Disease

por Laifenfeld, Daphna, Yanover, Chen, Ozery-Flato, Michal, Shaham, Oded, Rosen-Zvi, Michal, Lev, Nirit, Goldschmidt, Yaara, Grossman, Iris
Publicado 2021

A causal inference approach for estimating effects of non-pharmaceutical interventions during Covid-19 pandemic

por Barros, Vesna, Manes, Itay, Akinwande, Victor, Cintas, Celia, Bar-Shira, Osnat, Ozery-Flato, Michal, Shimoni, Yishai, Rosen-Zvi, Michal
Publicado 2022

Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study

por Ozery-Flato, Michal, Ein-Dor, Liat, Pinchasov, Ora, Dabush Kasa, Miel, Hexter, Efrat, Chodick, Gabriel, Rosen-Zvi, Michal, Guindy, Michal
Publicado 2023

Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndrome

por Ozery-Flato, Michal, Parush, Naama, El-Hay, Tal, Visockienė, Žydrūnė, Ryliškytė, Ligita, Badarienė, Jolita, Solovjova, Svetlana, Kovaitė, Milda, Navickas, Rokas, Laucevičius, Aleksandras
Publicado 2013

A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis

por Konz, Nicholas, Buda, Mateusz, Gu, Hanxue, Saha, Ashirbani, Yang, Jichen, Chłędowski, Jakub, Park, Jungkyu, Witowski, Jan, Geras, Krzysztof J., Shoshan, Yoel, Gilboa-Solomon, Flora, Khapun, Daniel, Ratner, Vadim, Barkan, Ella, Ozery-Flato, Michal, Martí, Robert, Omigbodun, Akinyinka, Marasinou, Chrysostomos, Nakhaei, Noor, Hsu, William, Sahu, Pranjal, Hossain, Md Belayat, Lee, Juhun, Santos, Carlos, Przelaskowski, Artur, Kalpathy-Cramer, Jayashree, Bearce, Benjamin, Cha, Kenny, Farahani, Keyvan, Petrick, Nicholas, Hadjiiski, Lubomir, Drukker, Karen, Armato, Samuel G., Mazurowski, Maciej A.
Publicado 2023