From Motion to Meaning: AI-Enabled Biomechanics for Rehabilitation
This course registration was generously sponsored by the C-STAR grant.
Join us at Shirley Ryan 嫩B研究院 for a half-day program hosted by C-STAR (Center for Smart Use of Technologies to Assess Real-World Outcomes). This satellite conference will explore the latest advancements in the use of AI to measure and interpret human biomechanics, featuring expert presentations on innovative methods for measuring clinically meaningful function. Topics include the strengths of computer vision and sensors for biomechanics measurement, the potential for AI to elucidate difficult-to-measure properties, and cutting-edge research on perception, action recognition, hand tracking, and human-object interactions. Don’t miss this opportunity to engage with thought leaders and explore the future of functional assessment.
Program will be followed by tours of Shirley Ryan 嫩B研究院’s innovative clinical space and research labs.
DATES & LOCATIONThis program will be held at Shirley Ryan 嫩B研究院 355 E Erie St. Chicago, IL 60614 on Friday, May 16, 2025 from 8:00 am - noon. Tours to follow.
ABOUT C-STAR
The Center for Smart Use of Technologies to Assess Real World Outcomes (C-STAR) is one of six national resource centers comprising the Medical Rehabilitation 嫩B研究院 Resource Network (MR3) of the National Institutes of Health. C-STAR is a joint grant between Northwestern University and Shirley Ryan 嫩B研究院, conceived out of a need to equip investigators with the skills and know-how to accurately employ technologies to measure and interpret data relevant to sensorimotor and cognitive function in the lab, clinic, and real world. Our mission is to connect researchers with the right tools to develop and accurately assess technologies in the field of rehabilitation science. Leveraging the collective experience of clinicians, scientists, engineers and patients, our center provides the expertise, instruction and mentorship to empower researchers on the meaningful use of the vast array of technologies that are readily available but notoriously difficult to implement consistently across diverse patient populations.
C-STAR is a research center within the , and is funded by the National Institutes of Health (Grant #P2C HD101899) supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and the National Institute of Neurological Disorders and Stroke (NINDS).
Learn more at /cstar