Robert J. Gillies

This study uses ecological analysis of hypoxia and acidosis biomarkers to improve prediction of DCIS upstaging by identifying habitat-based metabolic phenotypes and spatial niches.

This study develops a clinical-radiomics model to predict immunotherapy response in NSCLC patients, identifying a radiomic feature linked to hypoxia and poor outcomes.

This study shows intermittent hormonal therapy achieves similar tumor control as standard-of-care in ER+ breast cancer models with reduced drug use and preserved sensitive cell phenotypes.

The paper combines radiomics and mathematical modeling to identify imaging features and hypothesize resistance mechanisms in lung cancer patients to immune checkpoint blockade.