eWEAR Symposium 2021: Session 2
Thursday, February 25, 12:00 to 2:00 pm PST
Affiliate Registration – eWEAR Affiliate member companies, VIPs, and the Stanford University community with SUNetID; Non-affiliate Registration – Prospective members and other paying attendees; Questions? Ask firstname.lastname@example.org
12:00 Professor Leanne Williams, “Personalized Neuroscience for Developing Mental Health Applications”
12:30 Dr. Yasser Khan, “Design Considerations of a Wearable for Mental Health and Wellness”
1:00 Professor Utkan Demirci, “Medical Micro/Nanorobots in Biofabrication and Precision Medicine”
1:30 Professor Boris Murmann, “Machine Learning in Resource Constrained Hardware”
Professor Leanne Williams
Professor of Psychiatry and Behavioral Sciences at Stanford University School of Medicine
Prior to joining the Stanford community, Dr. Williams was the founding chair of Cognitive Neuropsychiatry and directed the Brain Dynamics Center at Sydney Medical School.
Her PhD was completed with a British Council Scholarship for study at Oxford University.
Dr. Williams’ Center and translational programs integrate advanced neuroimaging, technology and digital innovation to transform the way we detect mental disorders, tailor interventions and promote wellness. She has developed the first taxonomy for depression and anxiety that quantifies brain circuits for diagnostic precision and prediction. Dr. Williams’ research programs are supported by funding from the National Institutes of Health, spanning priority Research Domain Criteria, Human Connectome and Science of Behavior Change initiatives. She has contributed over 325 scientific papers to the field.
Breakthroughs in Williams’ PanLab show that the physical manifestations of depression present as distinct combinations called ‘biotypes’. We are privileged to collaborate with leaders in Engineering to address an interdisciplinary objective: to leverage our breakthroughs in biotypes with advanced wearable sensors developed by our collaborates. We seek to accomplish for mental health what the Framingham Heart Study has for cardiovascular disease. Much of the common knowledge about heart disease is due to this study, and this foundation was the platform for scalable sensors for heart health.
Our approach will lead to a platform for quantifying how depression risk manifests in physical indicators of neural circuit function and peripheral physiology. This approach allows for a precise and personalized neuroscience approach to mental health that ultimately is scalable.
Yasser Khan, Ph.D.
Professor Utkan Demirci
Tenured Professor in the Radiology Department in the School of Medicine
Professor Boris Murmann
Professor of Electrical Engineering