25Sep 2026
LinkedIn
Congratulations to Drs. Ehsan Adeli, Feng Vankee Lin, and James Landay – we’re excited to be working at the…
forefront of AI and aging research at Stanford Medicine.
Stanford Translational AI Lab (STAI)
forefront of AI and aging research at Stanford Medicine.
showing us around. We met some incredible robots and learned about the cutting-edge projects underway at the SRC. We're particularly excited about the SOAR project with older adults – work that aligns closely with STAI Lab's projects supporting seniors’ independence. Our lab looks forward to continued collaboration with the SRC on gait analysis and locomotion research as we work toward human-centered robotic soluti…
together at our recent mini-symposium to celebrate our community and the work we’ve accomplished together. We were excited to showcase research from our postdocs, PhD, master’s, and undergraduate students, highlighting the breadth of work at the intersection of health AI, computational neuroscience, and computer vision. From early detection of dementia and digital biomarkers for cognitive decline and Alzheimer’s di…
Health care providers struggle to catch early signals of cognitive decline. AI and computational neuroscientist Ehsan Adeli’s innovative computer vision tools may offer a solution.
Exciting news from the Stanford Translational AI Lab (STAI)! On April 17, our very own PhD student Favour Nerrise delivered an extraordinary three-minute presentation of her doctoral research and walked away with both of the competition’s highest honors: the People’s Choice Award and the Judges’ First Prize .
Stanford University has launched an important new initiative on AI for mental health, AI4MH, doing so via the School of Medicine, Department of Psychiatry and Behavioral Sciences.
Click the link below for more information and the registration process.
AI models are trained to mimic patterns found in data,” said Ehsan Adeli, director of the Stanford Translational AI in Medicine and Mental Health Lab. “They recognize and respond to textual cues, but they don’t really understand emotions the way humans do. Instead, they simulate an understanding by processing massive amounts of data.
The transition from homogeneous to heterogeneous machine learning in neuropsychiatric rese
The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion
Six interdisciplinary research teams received a total of $3 million to pursue groundbreaking ideas in the field of AI. Congratulations to Ehsan Adeli, assistant professor of psychiatry and behavioral sciences, PI for the newly funded project entitled, "A Multidimensional Odyssey into the Human Mind!