Researchers at Stanford have created ligand-induced dimerization activating RNA editing (LIDAR), a versatile molecular sensor that turns the presence of a ligand into translation of an output protein.
Stanford researchers have designed a remote digital health platform to assist diagnosis and management of some inflammatory skin conditions, such as eczema.
Stanford researchers at the Lee Lab have developed a new system and method for measuring pathology then applying a novel algorithm to optimize neurostimulation therapy for altering pathology for treatment of neurodegenerative diseases.
Stanford researchers at the Lee Lab have developed a method to understand whole-brain circuit mechanisms underlying neurological disease and its application to predict the outcome of therapeutic interventions.
Stanford researchers have developed an expanded catalog of compact transcription effector domains and fused them onto DNA binding domains to engineer synthetic transcription factors.
Stanford researchers in the Bao Lab have designed hydrophobic perfluoropolyether (PFPE) polymers that can be applied in underwater conditions, at room temperature, without any solvent or curing steps, and can be reused and recycled.
Researchers in the Zhenan Bao Group and the Yi Cui Group have developed a Salt-Philic, Solvent-Phobic (SP2) Li anode polymer coating that dramatically out performs state of the art Li anode coatings/electrolyte strategies battery cycle life.
Researchers at Stanford University have developed gas diffusion layers with engineered surface roughness within the gas pathway of electrochemical devices that improves catalyst utilization.
Active manipulation of light beams is required for a range of emerging optical technologies, including sensing, optical computing, virtual/augmented reality, dynamic holography, and computational imaging.
Researchers at Stanford University have developed Schottky contacts for aluminum nitride-based microelectronic devices. The contacts enable reliable device operation at up to 600 ºC, opening up opportunities for high temperature microelectronic performance.
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.
Researchers at Stanford University have established a deep learning segmentation algorithm for non-contrast CT images to aid clinicians in decision making and improve the speed of symptom to treatment in acute ischemic stroke
Stanford inventors have developed a method for manufacturing perovskite solar modules at lower cost and greater device stability by utilizing a novel transparent conducting oxide (TCO) lift-off scribing method.