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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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Huvudupphov: Alexander B. Brummer, Agata Xella, Ryan Woodall, Vikram Adhikarla, Heyrim Cho, Margarita Gutova, Christine E. Brown, Russell C. Rockne
Materialtyp: Artigo
Språk:Inglês
Utgiven: Frontiers Media S.A. 2023-05-01
Serie:Frontiers in Immunology
Ämnen:
dynamical systems
latent variables
CAR T-cells
antigen binding
allee effect
SINDy
Länkar:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1115536/full
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