Stanford inventors have developed a functionally-graded implant device for the reconstitution of the necrotic area removed after surgical treatment of osteonecrosis of the hip.
Stanford researchers have developed a novel catheter technology for sensing embolic delivery and reflux as a strategy to eliminate need for X-ray imaging during angiography.
Determining a patient's drug susceptibility is currently a lengthy process requiring hundred to millions of cells. Currently, these cells are labelled, frozen or otherwise manipulated in ways that prevent sequential testing against multiple drugs on the same few cells.
To date, there are no treatments to restore neurologic function for the 7 million US patients suffering from chronic ischemic stroke. NR1 therapy provides a novel treatment for this unmet need.
The Zhenan Bao Research Group at Stanford University has designed an intrinsically stretchable polymeric matrix that allows seamless integration with physically crosslinked PEDOT:PSS, while stabilizing its high stretchability, and high conductivity after all necessary fabricat
The Zhenan Bao Research Group at Stanford University developed and manufactured a photo-curable, directly patternable, stretchable, and highly conductive polymer that is ideal for bioelectronic applications, and stretchable electronic devices.
Scientists in the Zhenan Bao Research Group at Stanford developed a process for direct photo-patterning of electronic polymers that improves device density of elastic circuits over 100x.
Chemical engineers at Stanford have developed miscible antifoams that are easy to incorporate and do not separate out from the target liquid during operation.
Stanford researchers have developed a patented microscopy method which can provide chemical identification of molecular structures with radiation spectroscopy at nanometer or near-atomic scales, which is one of the most challenging problems in microscopy.
Stanford engineers have developed an optical modulator to enable low-cost and high spatial-resolution time-of-flight imaging and LiDAR with low-cost standard image sensors.
Stanford researchers in the WE3 and S3 Labs developed a cloud-based computation and predictive control platform for wastewater treatment facilities energy storage and energy generation. Wastewater treatment is energy and cost intensive.
Dr. Curt Scharfe and colleagues have developed RUSPseq, a method for next generation molecular testing originally conceived to diagnose metabolic disorders in newborns.