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A machine learning approach to predict cellular mechanical stresses in response to chemical perturbation.
SubramanianBalachandar, VigneshAravind; Islam, Md Mydul; Steward, R L.
  • SubramanianBalachandar V; Department of Mechanical and Aerospace Engineering, College of Engineering, University of Central Florida, Orlando, Florida; Department of Cell Biology, University of Virginia, Charlottesville, Virginia.
  • Islam MM; Department of Mechanical and Aerospace Engineering, College of Engineering, University of Central Florida, Orlando, Florida.
  • Steward RL; Department of Mechanical and Aerospace Engineering, College of Engineering, University of Central Florida, Orlando, Florida; Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, Florida. Electronic address: rstewardjr@ucf.edu.
Biophys J ; 122(17): 3413-3424, 2023 09 05.
Article en En | MEDLINE | ID: mdl-37496269
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estrés Mecánico / Células Endoteliales de la Vena Umbilical Humana / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estrés Mecánico / Células Endoteliales de la Vena Umbilical Humana / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article