About this event
Opening Remarks by Dana Wolff-Hughes, Ph.D. Program Director, National Cancer Institute, NIH
Featured Speakers:
- Laura E. Barnes, Ph.D. Professor, University of Virginia. "Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Cancer Medication Adherence."
- Samni Koyejo, Ph.D. Assistant Professor, Stanford University. "Towards Fair Federated Breast Cancer Risk Scoring."
- Shandong Wu, Ph.D. Associate Professor, University of Pittsburgh. "Trustworthy Medical Imaging AI for Breast Cancer Care."
Artificial intelligence and other technological advances 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 SCH 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, SCH has been instrumental in paving the way for transformative innovations in healthcare technology. Approximately 40% of Americans will be diagnosed with cancer during their lifetime, and cancer remains a leading cause of death in the US. The projects included in this symposium tackle the urgent need for improved diagnostic tools, data-driven treatment, and increased health equity in cancer care. 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)
To Join the webinar, please register at: https://nsf.zoomgov.com/webinar/register/WN_hnSEq-DzSfCJW4IjaKA-BA#/registration