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Guest Speaker: Xia Ning

Assistant Professor in the Biomedical Informatics Department, College of Medicine, The Ohio State University

All dates for this event occur in the past.

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Xia Ning
480 Dreese Labs
2015 Neil Ave, Columbus, Ohio 43210

Computational Approaches toward Better Drugs

Drug development and responsible drug use represent critical issues for health care. Drug development has been extremely costly and of extremely low success rate. Even after successful development and FDA approval, many marketed drugs do not introduce equal efficacy on different patients, or they may induce unexpected side effects on patients. In this talk, we will demonstrate how computational approaches can help accelerate drug development, facilitate precision drug selection and perform post-market pharmacovigilance. In specific, we will discuss a new ranking framework and ranking methods to prioritize drug candidates when multiple criteria are considered (e.g., drug bioactivity and selectivity). We will also discuss a new ranking-based approach to selecting effective cancer drugs for different patients, and new computational methods to predict drug-drug interactions and their induced side effects.

Bio: Xia Ning is a tenure-track Assistant Professor in the Biomedical Informatics Department, College of Medicine, The Ohio State University (OSU). 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. In Fall 2014, she joined the Computer and Information Science Department, Indiana University-Purdue University Indianapolis (IUPUI) as a tenure-track Assistant Professor. In July 2018, Ning moved to the OSU. Ning’s research is on Data Mining and Big Data analysis with applications on Chemical Informatics, Bioinformatics, Health Informatics and e-commerce. In specific, Ning’s research focuses on developing scalable models and computational tools to derive knowledge from heterogeneous Big Data, and to ultimately solve critical and real high-impact problems. Specific research topics include drug candidate prioritization for drug discovery, cancer drug selection for precision medicine, and information retrieval from electronic medical records, etc.

Host: Huan Sun