About this event
Smart Health Frontiers: Bringing Mathematical and Statistical Foundations to Advance Precision Medicine
About the series
Join the U.S. National Science Foundation (NSF) and the National Institutes of Health (NIH) for a symposium in which we celebrate and share the work of researchers funded by the NSF Smart Health (SCH) program. This symposium will focus on showcasing how advances in mathematical and statistical methods are addressing critical issues in precision medicine.
Featured Speakers
Carlos Fernandez-Granda, PhD
Associate Professor, New York University
“Quantifying impairment using AI models trained on healthy subjects”
Annie Qu, PhD
Chancellor’s Professor, University of California-Irvine
“Individualized learning and prediction for heterogeneous multimodal data from wearable devices”
Christopher K. Wikle, PhD
Curators’ Distinguished Professor, University of Missouri
“Improving Understanding of Glaucoma Risk Factors via Physiology-Enhanced Data Analytics: An Interdisciplinary Perspective”
Opening Remarks by David Berkowitz, Assistant Director, NSF Directorate for Mathematical and Physical Sciences
Technological advances, such as artificial intelligence and other advanced analytic models, are poised to make wide-spread changes in multiple sectors of American society. However, the integration of these advancements into health-related fields has been slow. Recognizing this critical gap, the Smart Health program, a collaboration between NSF and NIH, has been at the forefront since 2013, spearheading basic research initiatives. By harnessing the interdisciplinary prowess of computer science, engineering, mathematics, and the social and behavioral sciences, Smart Health has been instrumental in paving the way for transformative innovations in healthcare technology.
Development of novel approaches in precision medicine has a potential to shift the existing healthcare paradigm, improving lives of millions of people. However, a wider adoption of such emerging approaches is impossible without offering a principled assessment of such new techniques, ensuring their reliability, safety, and fairness. This seminar will showcase how mathematical and statistical methods help to develop such foundational approaches in precision medicine, including such diverse problems as individualized risk factors for glaucoma, AI-assisted stroke rehabilitation, and predictive models of maternal health for women of color.
To learn more about the Smart Health program, visit Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (nsf.gov)
Click here to register for the webinar:
https://nsf.zoomgov.com/webinar/register/WN_R3ELDU1HQxCnz0_-UEbLpA#/registration