A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models.
Pharmacologic agents are commonly used to treat psychiatric diseases. These compounds, however, react differently across patients, are often followed by negative side effects and can have varied efficacy timeframes.
Stanford researchers have developed a next-generation protein sequencing platform capable of identifying all the proteins in a cell at single amino acid resolution.
Researchers at Stanford University have developed a method which integrates cell barcoding and high-throughput sequencing to quantify tumor growth in genetically engineered mouse models of human cancer (called 'Tuba-seq” for Tumor barcoding coupled with seq
Creating human brain progenitors and neurons from human pluripotent stem cells (hPSCs) offers vast possibilities to study, model and treat neurological and neurodegenerative diseases, which are among the most intractable diseases that afflict our society.
Stanford researchers in the Mark Davis Lab have developed a human cell culture system to grow 3D immune organoids within hydrogel structures using limited cellular input that can be adapted to large screening assays for flexible downstream immunological readouts.
Spiral ganglion neurons (SGNs) are essential for hearing as they transmit electrical signals from the cochlea to the brain. Loss of SGNs causes permanent hearing loss because SGNs do not spontaneously regenerate in humans.
Researchers at Stanford University have developed a novel method for the first time to generate cardiac pericytes from human induced pluripotent stem cells that closely resemble primary cells.
Stanford researchers have created a technology using CyTOF (Cytometry by Time Of Flight mass spectrometry) and CODEX (CO-Detection by indEXing) imaging to systematically analyze cell therapies produced ex vivo and their effects in vivo.
Stanford inventors have developed a single cell screening platform that can be used to predict the therapeutic effects of osteoarthritis (OA) drugs on individual patients by defining consequent changes in the cellular landscape.
Researchers in Prof. Brian Feldman's laboratory have developed a patented drug screen to identify compounds that could potentially treat obesity and metabolic disease by converting cells to calorie-burning brown fat.
Researchers in Prof. Gerald Crabtree's laboratory have produced a mouse allowing high-throughput screening for activity and inhibition of virtually any chromatin modifier in any murine tissue.
Researchers in Dr. Michael Lin's lab have developed a fluorescent voltage sensor for non-invasive optical monitoring of electrical events in living cells in vitro and in vivo.