Srijan Atti

This study uses spatial transcriptomics to identify molecular and cellular differences between good and poor prognosis triple-negative breast cancer subtypes, revealing distinct gene signatures that could inform therapy.

This study evaluates foundation models in single-cell transcriptomics and finds they underperform statistical models due to poor contextual encoding and information loss during tokenization.