Two related technologies, a pipeline for generating a custom PathFX algorithm and a new algorithm named Mr. Rogers, are used to identify protein pathways around drug targets.
Histone acetyltransferase 1 (HAT1) is an enzyme which acetylates lysine on histone proteins and is intricately involved with regulating gene transcription.
Researchers in the Sunwoo Lab have developed a method to differentiate intra-epithelial innate lymphoid cells type 1 (ieILC1s) from conventional peripheral natural kills cells for immunotherapeutic purposes.
Researchers in the Arbabian Lab have developed a system that uses a combination of radio frequency (RF) electromagnetic and ultrasound (US) waves to detect, localize, and identify multiple battery-free tags.
Stanford researchers have developed a novel method that enlarges the search space for disease-gene relationships. The main barrier to genome interpretation is the inherent difficulty in prioritizing the millions of genetic variants in known genes.
Stanford researchers have developed a portable hybrid frame-event based near eye gaze tracking system that has a superior speed while using a lower data bandwidth. They demonstrated real time results for gaze-tracking.
The Bronte-Stewart lab has designed an algorithm for calculating neural activity burst duration to better manage closed loop deep brain stimulation in patients with Parkinson's disease.
Stanford researchers have created an integrated cooling textile (called i-Cool) with an unique functional design for personal perspiration management (PPM).
The Ji lab has developed a sequencing assay to provide genetic diversity information of microsatellite and chromosomal instability (MSI) in colorectal cancer. MSI arises from a loss of DNA mismatch repair in colorectal cancers, making them genetically diverse.
Stanford researchers have created a portable, wearable device for long-term nystagmus tracking to better diagnose episodic vertigo. Current methods utilize head goggles in video nystagmography to monitor eye movement while the patient is in a clinical setting.
Stanford researchers have developed CheXpert which can reduce noise and identify several pathologies on x-rays with very high accuracy via machine learning. CheXpert can read photos of x-rays from a mobile phone and is robust to noise.
Radiation therapy is a common option in diseases like breast cancer, but can also cause significant damage to the skin. Permanent scarring and fibrosis can result, with both aesthetic and functional consequences for cancer patients.