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AI-Quantified Patient Frailty Predicts Clinical Response to CAR-T | Synapse
March 3, 2026
AI-Quantified Patient Frailty Predicts Clinical Response to CAR-T
CS
Courtney J. Smith
AF
Ates Fettahoglu
Stanford University
AJ
Andrew Johnston
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Key Points
Patient frailty is linked to clinical response in CAR-T therapy, emphasizing its predictive value.
AI assessment showed frailty scores significantly influenced treatment outcomes within a cohort of patients.
This analysis utilized an artificial intelligence framework to quantify frailty and its association with responses to CAR-T.
Understanding this relationship may enhance personalized treatment approaches in CAR-T applications.
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Cite This Study
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Smith et al. (Sun,) studied this question.
synapsesocial.com/papers/69a760b2c6e9836116a2db49
https://doi.org/https://doi.org/10.1016/j.jtct.2025.12.235