Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment.

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Title: Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment.
Authors: Benzekry S; Computational Pharmacology and Clinical Oncology (COMPO), Inria Sophia Antipolis-Méditerranée, Cancer Research Center of Marseille, Inserm UMR1068, CNRS UMR7258, Aix Marseille University UM105, Marseille, France., Mastri M; Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, United States of America., Nicolò C; InSilicoTrials Technologies S.P.A, Riva Grumula, Trieste, Italy., Ebos JML; Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, United States of America.; Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2024 May 03; Vol. 20 (5), pp. e1012088. Date of Electronic Publication: 2024 May 03 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment.
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  Data: <searchLink fieldCode="AU" term="%22Benzekry+S%22">Benzekry S</searchLink>; Computational Pharmacology and Clinical Oncology (COMPO), Inria Sophia Antipolis-Méditerranée, Cancer Research Center of Marseille, Inserm UMR1068, CNRS UMR7258, Aix Marseille University UM105, Marseille, France.<br /><searchLink fieldCode="AU" term="%22Mastri+M%22">Mastri M</searchLink>; Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, United States of America.<br /><searchLink fieldCode="AU" term="%22Nicolò+C%22">Nicolò C</searchLink>; InSilicoTrials Technologies S.P.A, Riva Grumula, Trieste, Italy.<br /><searchLink fieldCode="AU" term="%22Ebos+JML%22">Ebos JML</searchLink>; Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, United States of America.; Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2024 May 03; Vol. 20 (5), pp. e1012088. <i>Date of Electronic Publication: </i>2024 May 03 (<i>Print Publication: </i>2024).
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        Value: 10.1371/journal.pcbi.1012088
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      – TitleFull: Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment.
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              Text: 2024 May 03
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