Stanford University researchers have developed aptamer-antibody chimeras that achieve dynamic, sensitive, and specific biomolecule sensing beyond the capacity of antibodies or aptamers alone.
Stanford researchers have created a novel wearable device and system to assess fatigue on the user based on electrical activity associated with an eye blink of the subject.
Researchers at Stanford have developed a porous biologics-loaded multimaterial construct, called Hybrid Tissue Engineering Construct (HyTEC), with applications in regenerative medicine and therapeutic delivery.
Stanford researchers at the Zare Lab, Department of Chemistry, have developed a simple and eco-friendly method that could potentially produce substantial amounts of ammonia and urea, both of which are primarily used in fertilizer.
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.
Stanford inventors have devised a method of multiplexing droplet reactions to analyze and identify many reactions in parallel on a single microfluidic chip using off-the-shelf flow control and valving.
Researchers in Prof. Karl Deisseroth's laboratory have patented a revolutionary technique that can be utilized to map neural circuits in the whole brain.
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.
Background: Researchers at Stanford have discovered a method to create lattice microneedle structures using high resolution continuous liquid interface printing (CLIP) technology.
Stanford inventors have developed an information theoretic, seizure detection algorithm for electroencephalography (EEG) towards improving diagnosis, management, and treatment of patients with epilepsy.
Researchers at Stanford University have developed an affinity capture technique for top-down protein analysis that directly couples biolayer interferometry (BLI) with high resolution mass spectrometry (HR-MS).
Researchers in the Burns group at Stanford designed a reaction methodology that allows for a green and inexpensive cycloaddition of amine or amide-containing unactivated olefins for the synthesis of biologically relevant cyclobutanes.
Stanford researchers have developed a data sketching method that leverages neural networks to perform queries on large datasets. As datasets grow larger and more complex, they must be compacted (sketched) in ways such that they are easily stored and processed.