Razelle Kurzrock

This paper identifies allele-specific resistance mechanisms to daraxonrasib in pancreatic cancer and demonstrates how these guide effective salvage therapies.

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

The paper introduces a machine learning model that learns spatial preference maps for drug-receptor interactions to guide drug discovery.

ENLIGHT predicts patient response to targeted and immunotherapies using tumor transcriptomes without prior treatment response data, showing better accuracy than existing transcriptomics-based signatures.