Ilsa M. Coleman

This paper develops a deep learning framework to infer gene expression from cell-free DNA, improving reliability and enabling functional genomics in precision oncology.

This paper develops a machine learning model to identify molecularly distinct DDR subgroups in prostate cancer, revealing concurrent repair deficiencies and improving therapeutic stratification.

This study shows that acute CDK12 loss in prostate cancer causes HR deficiency via polyadenylation, but chronic loss leads to adaptation, making PARP inhibitors ineffective and suggesting CDK13 targeting as a new therapeutic approach.

This paper shows that LSD1 inhibition is effective against neuroendocrine prostate cancer (NEPC) and that combining it with YAP/TEAD inhibition enhances treatment efficacy.