Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables

In the development of cell-based cancer therapies, quantitative mathematical models of cellular interactions are instrumental in understanding treatment efficacy. Efforts to validate and interpret mathematical models of cancer cell growth and death hinge first on proposing a precise mathematical mod...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Alexander B. Brummer, Agata Xella, Ryan Woodall, Vikram Adhikarla, Heyrim Cho, Margarita Gutova, Christine E. Brown, Russell C. Rockne
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Frontiers Media S.A. 2023-05-01
Σειρά:	Frontiers in Immunology
Θέματα:	dynamical systems latent variables CAR T-cells antigen binding allee effect SINDy
Διαθέσιμο Online:	https://www.frontiersin.org/articles/10.3389/fimmu.2023.1115536/full
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