Oleg V. Stroganov

This study uses large language models to structure unstructured neuropathological reports from Parkinson's disease patients, improving data consistency and enabling integration with clinical and genetic data.

This paper introduces PERCEPTION, a framework using single-cell transcriptomics to predict cancer treatment response and resistance, outperforming bulk expression-based methods in clinical trials.