Antonios Papanicolau‐Sengos

This paper introduces EXPAND, an interpretable AI model that predicts breast cancer subtypes and survival using nuclear features, achieving performance comparable to black-box models.

The paper compares gene expression in primary and metastatic tumors to their origin and target tissues, finding metastases more resemble target tissues and show reduced cancer hallmark activity.

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