Stanford researchers in the Snyder lab have discovered and developed an innovative immunoglobulin modality for the treatment of insulin resistance and type 2 diabetes.
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.
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
Chemical engineers at Stanford have developed miscible antifoams that are easy to incorporate and do not separate out from the target liquid during operation.
Researchers at Stanford University have identified a small molecule tryptase inhibitor for treatment of severe allergies. Mast cells are a part of the innate and adaptive immune response. Mast Cell activation results in release of granules containing tryptases.
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.
Researchers at Stanford have developed a new path planning algorithm that enables autonomous multi-drone aerial surveys over large-scale environments. Their system solves the problem of finding routes over large areas in order to complete aerial survey tasks in reduced time.