Stanford scientists have developed species cross-reactive B7H3-targeting CAR-T cells that can effectively target both human and mouse tumors, enabling more accurate preclinical testing in immunocompetent models.
Stanford scientists have developed the Programmable Antigen-Mediated Cellular Knock-in of T cell (PACK-IT) platform that enables rapid CAR-T cell engineering in hours rather than weeks.
Stanford scientists have developed a method to selectively expand CAR-T cells by co-delivering IL9R with CAR genes using a novel platform that enables rapid CAR-T cell engineering through targeted lentiviral delivery.
Stanford researchers have developed an innovative wearable device that enhances mindfulness training by augmenting the user's real-time auditory environment.
Researchers at Stanford have pioneered a novel approach to tuberculosis (TB) vaccine development by pinpointing a novel T-cell target, a PPE protein epitope, via leading edge T-cell reporter assays and comprehensive peptide library screening.
Stanford researchers have developed EphrinA3 technology to strengthen epithelial barriers by increasing expression of cell-cell adhesion molecules, particularly desmoglein-1 (DSG1) and desmocollin-1 (DSC1).
Diagnosis and sub-typing of inflammatory bowel disease (IBD) subsets, such as Crohn's disease (CD) and ulcerative colitis (UC), often require the use of repeated, invasive, and expensive endoscopy procedures, which are not without risk.
Stanford researchers have developed a general system to regulate the activities of specific proteins in mammalian cells using cell-permeable, synthetic molecules.
Stanford researchers in the Onori Lab have developed a battery management system (BMS) that uses sine-wave current pulses to accurately determine a battery's state-of-charge (SOC).
The Stanford team developed a groundbreaking approach to measure single molecules by precisely measuring the forces induced by the absorption of electromagnetic radiation.
Stanford scientists have developed Plate-C, a high-throughput screening platform that captures genome-wide 3D chromatin architecture as a comprehensive cellular phenotype.
Stanford researchers have developed a technology for the automated separation of arteries and veins in single-phase brain CT angiography (CTA) using graph neural networks, enabling precise collateral scoring and improved stroke prognosis.