Workshop explores artificial intelligence for biomedical and health research

Workshop explores artificial intelligence for biomedical and health research

UNIVERSITY PARK, Pennsylvania — Penn State Clinical and Translational Science Institute (CTSI) and Penn State’s Institute for Computational and Data Sciences (ICDS) will co-host a workshop titled “Harnessing the Power of EHR Data and AI to Advance biomedical research”. which will focus on the use of artificial intelligence (AI) for biomedical and health records research. Registration is now open for the virtual event, which will be held on November 3 from 9 a.m. to 12:30 p.m.

AI promises to be a powerful tool for improving biomedical research and, by extension, improving health outcomes for patients around the world. According to organizers, this workshop is designed to introduce Penn State researchers to AI methods, as well as connect them to Penn State resources they can use to leverage AI in their own work.

The workshop will include three presentations from Penn State College of Medicine research groups that are applying AI techniques to advance their research.

Successes and barriers to using real-world evidence to assess pediatric disease outcomes

Dr. Conrad Krawiec, Associate Professor of Pediatrics, will introduce this session, outlining how to apply real-world evidence to pediatric medicine and understand the barriers that exist.

Atherosclerotic Cardiovascular Disease Risk Assessment with Machine Learning

David Foley, doctoral candidate in information science and technology and member of the AI ​​Research Lab, will join Dr. William Curry, master of science, professor of family and community medicine and professor of public health sciences, and to Dr. Mack Ruffin, Master of Public Health, Hershey Company Professor, Dr. and Mrs. Forney P. George Fellow and Director of the Department of Family and Community Medicine, for this session. The team will present their work to assess the potential advances of modern machine learning algorithms on ASCVD, risk assessment and explore the potential of machine learning techniques to identify new potential biomarkers of high risk for ASCVD .

Readmissions in vascular surgery patients: what have we learned from the data and where do we go from here?

Dr. Faisal Aziz, Gilbert and Elsie H. Sealfon Memorial Fund Professor for Vascular Research and Treatment, and Justin Petucci, Research and Development Engineer, ICDS’s Research Innovations with Scientists and Engineers, will moderate this session. Aziz and Petucci will describe analyzes of studies that reveal the risk of unplanned return to the operating room for vascular surgery patients, as well as pre-existing conditions that impact readmissions. The presentation will also discuss transitional care planning that has helped reduce readmission rates after vascular surgery procedures.

Opening remarks will be offered by Vasant HonavarProfessor of information science and technology; Huck Chair in Biomedical Data Science and Artificial Intelligence; director, Center for Scientific Foundations and Applications of Artificial Intelligence and Associate Director, Institute of Computer and Data Sciencesand IT co-manager, Penn State Institute for Clinical and Translational Sciences.

For more information or to register, visit the webpage.

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