Search Results - Michael Leshchinsky
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Can we identify individuals at risk to develop multiple myeloma? A machine learning‐based predictive model by Moshe Mittelman, Ariel Israel, Howard S. Oster, Michael Leshchinsky, Yatir Ben‐Shlomo, Eldad Kepten, Osnat Jarchowsky Dolberg, Ran D. Balicer, Galit Shaham
Published 2025Artigo -
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Evidence for increased breakthrough rates of SARS-CoV-2 variants of concern in BNT162b2-mRNA-vaccinated individuals by Talia Kustin, Noam Harel, Uriah Finkel, Shay Perchik, Sheri Harari, Maayan Tahor, Itamar Caspi, Rachel Levy, Michael Leshchinsky, Shifra Ken Dror, Galit Bergerzon, Hala Gadban, Faten Gadban, Eti Eliassian, Orit Shimron, Loulou Saleh, Haim Ben‐Zvi, Elena Keren Taraday, Doron Amichay, Anat Ben-Dor, Dana Sagas, Merav Strauss, Yonat Shemer Avni, Amit Huppert, Eldad Kepten, Ran D. Balicer, Doron Netzer, Shay Ben‐Shachar, Adi Stern
Published 2021Artigo
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Biology
Computational biology
Medicine
Computer science
Internal medicine
Virology
2019-20 coronavirus outbreak
Artificial intelligence
Biochemistry
Coronavirus disease 2019 (COVID-19)
Disease
Infectious disease (medical specialty)
Intensive care medicine
MEDLINE
Machine learning
Multiple myeloma
Oncology
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)