This event will be held virtually. Please click here to join via Zoom.
 

"Ranking-based Artificial Intelligence: from Clinical Decision Support to Precision Medicine"

Xia Ning, Ph.D.
Associate Professor, Biomedical Informatics
Associate Professor, Computer Science and Engineering
Ohio State University
 

ABSTRACT
Due to the rapid growth of information available about individual patients, most physicians suffer from information overload and inefficiencies when they review patient information in health information technology systems. To address this issue, we developed ranking-based AI/ML systems to improve information retrieval from electronic health records (EHRs) and to facilitate clinical decision support. Our systems leverage the key ideas from Recommender Systems for prioritizing patient information based on various similarities among physicians, patients and information items. The need for information prioritization/selection is not unique only in EHR systems; for example, selecting the right drugs for the right patients is a primary goal of precision medicine. With similar ranking-based AI/ML techniques, we also tackled the problem of cancer drug selection in a learning-to-rank framework and formulated the cancer drug selection problem as to accurately predicting the ranking positions of sensitive drugs for each patient. In this talk, I will be presenting our ranking-based AI/ML methods for clinical decision support and for precision medicine and showcase the effectiveness of ranking-based AI/ML techniques for information prioritization in general application scenarios.
 

BIOGRAPHY
Dr. Xia Ning is a tenured Associate Professor in the Biomedical Informatics Department and Computer Science and Engineering Department, The Ohio State University. She co-directs the Computational Health and Life Sciences Community of Practice at the Translational Data Analytics Institute (TDAI) at OSU. Dr. Ning received her Ph.D. from University of Minnesota, Twin cities, in 2012. From 2012 to 2014, she worked as a research staff member at NEC Labs, America. From 2014 to 2018, she was an Assistant Professor in the Computer and Information Science Department, Indiana University – Purdue University Indianapolis. She joined OSU in July 2018. Ning’s research is on Artificial Intelligence and Machine Learning with applications in Biomedicine. In specific, Ning’s research focuses on developing scalable AI/ML models and computational methods to derive knowledge from heterogeneous Big Data via modeling, ranking, classification and prediction, etc., and ultimately to solve critical and high-impact problems. Specific research topics include information retrieval from electronic medical records, drug candidate prioritization for drug discovery, cancer drug selection for precision medicine, etc. Dr. Ning is a fellow of American Medical Informatics Association (AMIA).