The Chiu Lab is an interdisciplinary team affiliated with the UPMC Hillman Cancer Center and Department of Medicine at the University of Pittsburgh. Our mission is to bridge cutting-edge computational algorithms to unmet needs in precision medicine. Read more about the PI.

Research Highlights

Highlight at AACR: GPT-4 and gene-drug interactions

Michael's presentation at the American Association for Cancer Research (AACR) Annual Meeting 2024 has been selected as a highlight by the NCI Division of Cancer Biology (DCB; @NCICancerBio). In this study, we prototyped an efficient and accurate GPT-4 tool for analyzing gene-drug interactions through scientific literature in collaboration. Watch the DCB's interview with Michael and read the abstract.

shinyDeepDR is a user-friendly tool designed for predicting anti-cancer drug sensitivity using deep learning. With the tool, users can effortlessly perform an in silico screening of 265 approved and investigational compounds by uploading mutation and/or gene expression data from a cancer sample. Read the article.

DepLink is a web server to identify genetic and pharmacologic perturbations that induce similar effects on cell viability or molecular changes. It integrates heterogeneous datasets of genome-wide CRISPR screens, high-throughput drug screens, and gene expression signatures of perturbations. Read the article.

BHI is the flagship conference of the IEEE-EMBS (IEEE Engineering in Medicine and Biology Society) and serves as a unique forum for informatics and computing in healthcare and life sciences. We organized the Educational Activities including tutorials, panels, and student travel awards supported by the NSF and the NIH.


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