Leveraging Big Data and Artificial Intelligence in Therapeutic Discovery
Bin Chen, Assistant Professor in the MSU Department of Pediatrics and Human Development, presents during a Department of Pharmacology and Toxicology Drug Discovery Seminar.
The long-term goal of Chen’s lab is to develop computational methods and tools to discover new or better therapeutic candidates for cancers through collaborating with bench scientists and clinicians. Rapidly decreasing costs of molecular measurement technologies not only enable profiling of disease sample molecular features (e.g., transcriptome, proteome, metabolome) at different levels (e.g., tissues, single cells), but also enable measuring of cellular signatures of individual drugs in clinically relevant models. His lab is interested in leveraging these data and artificial intelligence to connect different components (patients, tissues, in vitro models and in vivo models) in translational research. We currently focus on liver cancer, breast cancer, and pediatric cancers. Chen joined MSU in early 2018 as part of the Global Impact Initiative.