Researchers in Prof. Minnie Sarwal's laboratory have discovered a panel of urine protein biomarkers to diagnose acute rejection in patients with kidney transplants. Acute rejection of kidney grafts remains a significant problem in transplantation community.
Stanford researchers have developed a method for manufacturing high quality multifunctional soft electronic fibers based on conventional microfabrication techniques.
Stanford researchers at the Zhao Lab have designed milli-spinner thrombectomy devices that mechanically debulk clots by safely shredding the clots for fast and complete clot removal.
Stanford researchers in the Zhao Lab have developed a mechanical thrombectomy device for Pulmonary Embolism (PE) that mechanically debulks and reduces volume of large clots without causing fragmentation.
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.
Stanford researchers have developed easyBAT, a simplified solution integrating a microfluidic sample preparation device with a fully automated analysis pipeline for rapid, accurate and accessible solution for food allergy diagnosis at the point-of-care.
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.
Stanford scientists have developed a novel hydrogel for long-term drug delivery of an Activator Protein 1 (AP-1) inhibitor for the prevention of post-surgical abdominal adhesion.
The Longaker lab at Stanford University has recently discovered that local injection of the drug Verteporfin after wounding can reduce scarring, improve the strength of healed skin, and regrow the hair follicles and sweat glands that are usually lost during the scarring proces
Stanford inventors have developed a novel diagnostic tool that identifies distinct immune signatures in the peripheral blood of osteoarthritis patients using mass cytometry (CyTOF) and applied machine learning.
Skin wounds invariably heal by developing fibrotic scar tissue, which can result in devastating disfigurement, growth restriction and permanent functional loss.
Stanford inventors develop a machine learning algorithm that accurately classifies patients suffering from an aggressive cancer, pancreatic ductal adenocarcinoma (PDAC), into prognostic groups that can predict differences in patient survival times.