Stanford researchers have created a single diffusion generative model, DiffusionPoser, that can reconstruct human motion in real-time from arbitrary body sensor configurations, with broad application in a variety of motion capture end uses.
Stanford researchers have developed a patient classification method (healthy, idiopathic, diabetic, etc.) based on a quantitative assessment score derived from autonomic and gastric electrocardiogram (ECG) and electrogastrogram (EGG) data.
Stanford researchers at the Snyder Lab have developed a method for simultaneously measuring thousands of proteins, lipids, and metabolites from home-collected 10 ?L blood samples in conjunction with wearable sensors.
Stanford researchers developed a novel flexible smart bandage capable of delivering precise electrical stimulation as part of an early response to wound infections.
Dr. Maheen Mausoof Adamson and colleagues have developed a personalized non-verbal communication device and associated app for post-stroke expressive aphasia patients.