Diogo Dias

The paper introduces CES, a computational framework to score drug effects in multicellular co-culture systems, distinguishing between immunomodulatory effects and toxicity.

The paper identifies drugs that rewiring the cancer-immune interface by enhancing NK cell function and tumor susceptibility through multimodal screening approaches.

The paper establishes a statistical framework to identify synergistic anticancer drug interactions using large-scale cell line data and reference null distributions.

This paper develops an improved machine learning model for predicting drug combination dose-response surfaces, showing better performance than scalar-valued synergy score methods.