Francesco Pasqualetti

This study identifies PTEN gain-of-function mutations as linked to increased migratory efficiency in glioblastoma cells, correlating with poorer patient survival.

The paper develops interpretable models to predict cancer drug sensitivity using transcriptomics data and enhances predictions with large language models, validated on clinical samples.

This paper develops a functional precision medicine approach using metabolic imaging to predict glioblastoma treatment response early in ex-vivo organoids, identifying responder and non-responder groups and a new molecular signature.