CAR T cell foundation model predicts immunotherapy response

Abstract excerpt

Single-cell transcriptomics resolves CAR T-cell states, yet translating heterogeneous cellular signals into patient-level therapeutic response remains challenging. Existing studies primarily identify response-associated genes or cell populations through experimental and statistical analyses, but few predictive frameworks integrate gene-level structure with clinical outcomes. Here, we present gANCHOR, a T-cell foun...

Topics

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• Aging
• CAR-T cell therapy research
• COVID-19
• Deep Learning
• Leukocytes, Mononuclear
• Phenotype
• Single-Cell Analysis
• Single-Cell Gene Expression Analysis

Identifiers and source

Literature Corpus work

36a664ed-94ec-50e5-816c-e6d46e9c29fb

DOI

10.64898/2026.07.11.737994