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.
Stanford researchers have developed a framework describing an end-to-end approach that infers experimental properties directly from nucleic acid sequence, using a principled statistical mechanical representation of the structure ensemble.
Robots will need sensory skins to safely interact with humans and navigate more complex environments than factory work cells. This invention is a new stretchable pneumatic sensor skin that can feel its surroundings and reach for objects in constrained environments.
Researchers at Stanford University have developed a rapid and sensitive bioluminescent assay for screening bacterial infections using enzyme-produced photo emission for detection of beta lactamase activity.
Multiplexed analysis of biological components is critical for classifying molecular subtypes of heterogeneous tumors to provide patient-specific therapies.
Stanford researchers in the Kanan group have developed a electrolysis cell for generating and extracting liquid and gas product streams from CO and CO2.
Researchers at Stanford University have discovered an invention to reverse tumor-induced CAR-T cell and CD8+ T cell exhaustion with administration of annexin V.
Stanford researchers have developed a multi-omics method for predicting the strength and durability of immune responses to vaccines shortly after vaccination. The COVID-19 pandemic was a grave demonstration of the threat pandemics pose to global public health.
Researchers at Stanford have developed a cloud-based behind-the-meter (BTM) system that can cut energy costs and reduce reliance on the grid close to 93% respectively.