Ideas Lab: Catalyzing Collaborations at the Interface of AI and Biomedical and Health Research

Penn State Clinical and Translational Science Institute (CTSI) hosted a reverse science event, "Ideas Lab: Catalyzing Collaborations at the Interface of Artificial Intelligence and Biomedical and Health Research," focused on the use of artificial intelligence (AI) for biomedical and health record research. The event was held on Mar. 29 from 10 a.m. to 2 p.m. at Penn State College of Medicine.
AI promises to be a powerful tool for improving biomedical research and, by extension, increasing better health outcomes for patients around the world. This event is designed to introduce Penn State clinical researchers to AI methods and connect them with experts and resources they can use to leverage AI in their work.
Penn State clinical scientists who would like to apply AI and data science techniques to advance their research were asked to submit a short 100-word abstract outlining their clinical research data needs (not limited to electronic health records) and why it’s important for improving health outcomes. Submitted abstracts were reviewed and selected for short, 5-minute presentations at the event. AI/Data science experts were on hand for consultation.
This event also introduced Penn State researchers in biomedical and health science to the Digital Collaboratory for Precision Health Research (DCPHR), which provides secure, seamless access to statistical Artificial Intelligence (AI), Machine Learning (ML), and Causal Inference (CI) analyses of electronic health records (EHR) data. Additionally, the reverse science event featured submitted presentations from Penn State College of Medicine clinical scientists who would like to apply AI techniques and data science to advance their research.
The DCPHR was established through collaboration with Penn State Clinical and Translational Sciences Institute’s informatics core service team, Penn State Center for Artificial Intelligence Foundations and Scientific Applications, the Institute for Computational and Data Sciences, and the Social Science Research Institute.