Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables
Researchers applied sparse identification and latent variables (SINDy) to analyze experimental CAR T-cell killing assay data for glioblastoma cancer cells. The study aimed to extend the CARRGO model by capturing more precise interactions between CAR T-cells and glioma cells.
SourceCollege of Charleston·JournalFrontiers in Immunology·TypeComputational simulation/modeling·DateJun 27, 2023