Stanford inventors have engineered a method for breath-based cancer detection, which can provide rapid and non-invasive early cancer detection and surveillance.
Researchers at Stanford University, UCSB and MIT have invented a novel video compression pipeline, called Txt2Vid, which substantially reduces data transmission rates by compressing webcam videos ("talking-head videos") to a text transcript.
Inventors at Stanford University have developed a colorimetric device to visualize microstructural features in tissue biopsies towards clinical diagnostics.
Stanford inventors have developed a method of using CRISPR/Cas9 or similar gene editing technologies to genetically edit an individual's own myeloid cells for specific gene targets, which are critical to wound repair, and applying these edited cells in a hydrogel to promote ra
Researchers at Stanford have developed a method for targeted purification of megabase-sized extrachromosomal DNA (ecDNA) by combining in vitro nuclease treatment and pulsed field gel electrophoresis.
Researchers in Prof. David Myung's laboratory have developed a bio-compatible, crosslinking gel that can be used for in situ repair of damaged cornea or as a three-dimensional scaffold for keratocyte-keratinocyte tissue culture.
Stanford University researchers have developed a system that achieves atmospheric water harvesting with high specific productivity, defined as the rate of water collected per mass of absorbent material.
Stanford inventors have developed a novel method of using CD36 inhibitors to prevent and reduce skin scarring. They found that the protein JUN, a major driver of tissue scarring in many organs including the lung and skin, initiates fibrosis via CD36 in fibroblasts.
Using their newly developed acetyl-click screening platform, researchers at Stanford have identified riboflavin analogs as small molecule inhibitors of Histone Acetyltransferase 1 (HAT1) with anti-cancer activity.
Stanford researchers have developed a contrastive learning approach that can significantly reduce the amount of labeled electrocardiogram (ECG) data required for downstream healthcare tasks, such as arrhythmia identification.
Stanford researchers in the Mahajan Lab have created a customizable proteomics platform that can identify protein biomarkers to differentiate among ischemic eye diseases and identify novel therapeutic targets to treat them.