A Multi-Campus Collaboration Powered by UCNI The UCNI has played a pivotal role in bringing an interdisciplinary team from three UC campuses together, each one of which brings a special expertise: UC Berkeley: Leading the development of the Scenic programming language, augmented reality applications, and AI-based code generation.
UC Irvine: Contributing expertise in cyber-physical systems and security. UC San Francisco: Providing clinical expertise in neurology and neurorecovery.
Funding has facilitated the hiring of two postdoctoral scholars, one graduate student and ten undergraduates to be involved in the project, thereby training the next generation of researchers and giving them hands-on experience in the intersection of technology and healthcare. Funding has also facilitated the involvement of clinician researchers who care for patients recovering from stroke. This unique collaboration is fostering a new research area that merges artificial intelligence, programming systems, cyber-physical systems, human-computer interaction, neurology, neurorecovery and cyber-security and privacy.
THIS PROJECT CAN TRANSFORM THE DELIVERY OF EFFECTIVE, INNOVATIVE AND PERSONALIZED HEALTH INTERVENTIONS, ESPECIALLY FOR THOSE WHO LIVE IN RURAL AREAS WITH LIMITED ACCESS TO CARE OR THOSE WITH SOCIO- ECONOMIC LIMITATIONS.
The Future of ScenicMR and Stroke Rehabilitation With clinical trials set to begin at UCSF, the ScenicMR team is eager to validate the effectiveness of their technology and refine its capabilities based on direct patient feedback. Their long-term vision is to expand this AI-powered rehabilitation model to other conditions beyond stroke, making home-based therapy more accessible for patients with limited mobility, transportation barriers, or financial constraints. While the project is still in its early phases, its potential to democratize rehabilitation and empower stroke survivors with personalized, at-home therapy solutions is undeniable. “Because of the UC Noyce Initiative support, ScenicMR is moving forward to transform stroke rehabilitation,” Seshia said, “and help make personalized, AI-driven therapy more accessible.” ◆
Stock image: Illustration of a brain stroke
ucnoyce.org 39
Made with FlippingBook Annual report maker