Silvia Martinelli

This study identifies mTORC2 as a convergent dependency in lung cancer that stabilizes HIF-1β to drive metabolic adaptation and tumor progression, revealing a therapeutic target in sphingolipid metabolism.

This study identifies architectural subtypes of PDAC using morphospatial profiling of CAFs, showing improved prognostication and chemotherapy response prediction.

This study uses spatial transcriptomics to analyze gene expression in lung adenocarcinoma morphologies, revealing plasticity and gene expression trajectories linked to lethal growth patterns.

This paper uses self-supervised AI to identify under-appreciated stromal morphologies in lung adenocarcinoma linked to poor prognosis, independent of current clinical schemas.

This paper introduces a self-supervised learning framework to analyze multiplex immunofluorescence images, revealing novel prognostic spatial patterns in cancer tissues.