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            Mathematical Modeling for Women’s Health

            Collaborative Workshop for Women in Mathematical Biology

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            Contributor(s)
            Ford Versypt, Ashlee N. (editor)
            Segal, Rebecca A. (editor)
            Sindi, Suzanne S. (editor)
            Language
            English
            Show full item record
            Abstract
            The purpose of this work is to focus mathematical modeling on issues affecting women’s health. Working in six collaborative teams, researchers developed new mathematical models to address questions in a range of application areas. Topics include HIV, oral contraceptives, blood clotting, breast cancer, neonatal respiration, and outbreak forecasting. The work is the result of newly formed collaborative groups begun during the Collaborative Workshop for Women in Mathematical Biology hosted by the Institute of Mathematics and its Applications and UnitedHealth Group Optum in June 2022. This is an open access book.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/180504
            Keywords
            Dynamical Systems; Parameter estimation; Differential equations; Optimization; Data science; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAX Computational biology / bioinformatics; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers
            DOI
            10.1007/978-3-031-58516-6
            ISBN
            9783031585166, 9783031585159
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2024
            Imprint
            Springer Nature Switzerland
            Series
            The IMA Volumes in Mathematics and its Applications,
            Pages
            240
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            Credits


            • logo Investir l'avenirInvestir l'avenir
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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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