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December 8, 2025Blood

Machine learning–driven prognostication of overall survival at 6 months after CAR-T cell therapy

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Authors

JVJosé C. VillasboasSCSaurabh ChhabraTHTufia C. Haddad

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Overview

Prognostic model predicts overall survival in CAR-T patients, suggesting vital signs and lab results enhance risk stratification.

Key Points

  • To develop a prognostic model predicting overall survival at 6 months following CAR-T therapy.
  • Analyzed a cohort of CAR-T recipients at Mayo Clinic.
  • Used patient data from initial CAR-T evaluations including vital signs and lab results.
  • Implemented gradient-boosting models trained on labeled patient data to predict outcomes.
  • Model achieved high predictive accuracy with an AUC of 0.87 using a simplified multimodal model.
  • Validation cohort yielded an AUC of 0.93, indicating strong predictive capability.
  • The model utilized complementary data from various domains, enhancing overall prediction.

Cite This Study

Villasboas et al. (2025) studied this question.

synapsesocial.com/papers/69362f514fa91c937236d981https://doi.org/10.1182/blood-2025-2563
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