Michael Adam Poch

This paper develops a virtual cohort framework to stratify individuals into treatment subgroups and applies it to a murine bladder cancer dataset to generate synthetic mice replicating tumor dynamics and experimental outcomes.

PETIL predicts TIL expansion in bladder cancer using demographic, clinical, and biological features, achieving AUC values of 0.740 and 0.857 in testing and validation cohorts.