Stanford researchers have developed a set of intervention videos to improve mindsets about osteoarthritis and exercise, which was proven in a randomized clinical trial to increase physical activity levels and overall health and wellbeing in an individual.
Researchers in the Noh Lab have developed a gait based, emotion recognition system using geophone sensors that are attached to the floor. People's gait changes under various emotions creating distinct structural vibration patterns.
Researchers at Stanford University have developed a multilayered immiscible polymer system capable of autonomously realigning its layers to enhance the healing process after damage.
Stanford researchers have designed a remote digital health platform to assist diagnosis and management of some inflammatory skin conditions, such as eczema.
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.
Actigraphy, or the non-invasive study of human activity-rest cycles, is a field of study of growing importance as ambulatory and at-home monitoring of patients becomes more popular.
Stanford researchers have developed a method for assessing neonatal health risk by using longitudinal electronic health records (EHR) utilizing a machine learning model comprising deep learning neural networks.
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.