Leveraging Informatics-based Approaches for Clinical Outcome Prediction Using Electronic Health Records and Research Datasets

March 30, 2021, 12:00 pm — 1:00 pm

Due to the COVID-19 outbreak, this seminar will be running via Zoom.

Join Zoom Meeting: SAIM Seminar Series – Dr. Aditi Gupta

The Institute for Informatics (I2) and the Division of Pulmonary & Critical Care Medicine are co-organizing the Symposium for Artificial Intelligence in Medicine (SAIM) seminar series. This symposium is designed to be a forum for the discussion of revolutionary healthcare technologies and the ongoing development of innovative healthcare technologies across our campuses, with the goal of uniting people with similar interests and fostering collaboration and growth. We welcome clinicians and trainees from all backgrounds and at all levels who are interested in learning more about translational artificial intelligence, machine learning and healthcare information technology. This year, our third seminar will be delivered by Dr. Aditi Gupta, on March 30, 2021.

Dr. Gupta is an Instructor in the Division of Biostatistics and Institute for Informatics at Washington University in St. Louis. Her current research projects focus on analyzing and implementing informatics-based methodologies, such as natural language processing and predictive modeling to identify clinical phenotypes in different disease cohorts and enable patient centered decision making. She is a computer scientist with over ten years of experience in designing and conducting data science experiments on varied datasets. She provides education and training programs for Washington University School of Medicine’s faculty, staff, and students to learn computational methods and applied biomedical informatics techniques.

Please contact Becky Light, light@wustl.edu, with any questions.