Engineers at the Khuri-Yakub Group have designed a non-surgical alternative for treating epilepsy using ultrasonic technology which can detect, localize, and suppress epileptic seizures in epileptic patients.
Stanford researchers have developed an optical coating that steers infrared and visual light in different paths while suppressing the typical undesired rainbow effect.
The invention provides a method of treating or preventing heart failure or a disease or condition associated with heart failure comprising administering an effective dose of an apelin peptide or APJ receptor ligand to the subject.
Current injectable hydrogel materials have fast erosion and limited tunability of their mechanical properties at different stages of applications, limiting their biomedical applications.
Researchers at Stanford have discovered a powerful new optogenetic actuator- a novel red-shifted opsin. Optogenetics is a technique used to study function and communication between cells.
Researchers at Stanford are developing methods of using arginine vasopressin (AVP) to improve social abilities of children with autism spectrum disorder (ASD). Autism is a neurodevelopmental disorder characterized by social impairments (e.g.
Researchers at Stanford have developed methods of using CRISPR/Cas9-mediated genome editing to treat patients with EGFR-mutant non-small-cell lung cancer (NSCLC). Approximately 85% of lung cancers are NSCLC.
Stanford researchers at the Zhenan Bao Lab have designed a device and method for real-time monitoring of arterial blood flow using a biodegradable, flexible, wireless and battery-free sensor mounted on an artery.
Researchers at Stanford have developed a new therapeutic to promote survival of retinal ganglion cells (RGCs) and optic nerve regeneration after traumatic injury or optic neuropathies.
Stanford researchers have developed an algorithm and web server to accelerate the synthesis of DNA and RNA molecules. Many modern medicine applications require 'on-demand' templates for DNA genes.
Stanford researchers have developed a new machine learning method for extracting gait parameters, such as cadence, step length, peak knee flexion, and Gait Deviation Index (GDI), from a single video.
Stanford researchers have proposed a novel, in vivo, real-time epifluorescence imaging method in the second near-infrared region using single-walled carbon nanotubes (SWNTs).
Dr. Manish Saggar at Stanford University has developed a new method to visualize and quantify transitions in brain activity, which may be used as a diagnostic tool for mental illness.
Researchers in Prof. Richard Zare's laboratory have developed a fast, accurate mass spectrometry technique for distinguishing an individual's gender, age or ethnicity based on the chemical composition of sweat.