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Dr. Romano: Using Knowledge-Driven AI to Predict and Explain Environmental Health Outcomes in Mothers and Children
January 10 @ 1:00 pm - 2:00 pm
Using Knowledge-Driven AI to Predict and Explain Environmental Health Outcomes in Mothers and Children
Key Takeaways:
As increasingly rich and complex environmental health data are collected for secondary analysis, new methods are needed to translate these data into clinically actionable knowledge. The recent explosion in artificial intelligence (AI) and machine learning (ML) applications hold great promise for this task, provided that an appropriate tool set is available to translate knowledge between the data sources and the AI models being used. In this talk, we introduce ComptoxAI – a major new data infrastructure that supports AI research in environmental toxicology – and its applications to discovering mechanisms underlying maternal and child environmental health outcomes. Beyond discussing recent and upcoming projects in the Romano Lab at Penn, we also cover the fundamentals of biomedical AI and provide resources to ECHO researchers who would like to apply AI in their own research.
Speaker:
Joseph D. Romano, PhD, MPhil, MA
Assistant Professor of Informatics, University of Pennsylvania
Speaker Bio:
Dr. Romano’s research focuses on using biomedical data science and artificial intelligence to make critical discoveries about toxicology and environmental health. His lab leads the development of new data infrastructures that integrate diverse biomedical knowledge from public data sources into knowledge graphs (link is external), as well as data-driven analyses on those knowledge graphs that both predict and explain outcomes of toxic exposures. He is a member of the Department of Biostatistics, Epidemiology and Informatics, and is affiliated with the Penn Institute for Biomedical Informatics (IBI) and the Center of Excellence in Environmental Toxicology (CEET).