Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockade

Michelle Przedborski et al. report an integrative systems biology and machine learning method for predicting cancer patient responses to immunotherapy treatment. Using their method, they identify several new drug combinations that could potentially improve treatment protocols for immunotherapy.

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Detalles Bibliográficos
Autores principales: Michelle Przedborski, Munisha Smalley, Saravanan Thiyagarajan, Aaron Goldman, Mohammad Kohandel
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/44e3f66755784e83bdb6e51e9bad3437
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Descripción
Sumario:Michelle Przedborski et al. report an integrative systems biology and machine learning method for predicting cancer patient responses to immunotherapy treatment. Using their method, they identify several new drug combinations that could potentially improve treatment protocols for immunotherapy.