Stanford researchers have developed multivalent SIRP-alpha fusion polypeptides that selectively block the CD47–SIRP-alpha immune checkpoint with enhanced potency, enabling next-generation immunotherapies that promote immune clearance of cancer and diseased cells while minimizi
Stanford researchers have developed the Broadly Usable Multi-Pass Engineered Receptor (BUMPER) architecture, a novel protein engineering platform for assembling stable, multifunctional cell surface receptors.
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 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 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 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.
Researchers at Stanford in collaboration with researchers at NYU have identified novel epitopes on Lymphocyte activation gene-3 (LAG-3) that regulate T cell activation. Blocking those LAG-3 epitopes has potential as a novel immune checkpoint inhibitor therapy.
Stanford researchers have developed a novel mutant IL-9 receptor (IL9R) that significantly enhances the in vivo engraftment, expansion, and anti-tumor activity of adoptively transferred T cells.
Stanford researchers have developed MONTAGE, a powerful computational framework designed to identify groups of cells, called spatial communities, and map how these groups change across biological functions linked to cancer progression.
Stanford researchers have identified a small set of genes that can be used to diagnose active tuberculosis (TB), distinguish active TB from latent TB or other diseases, and predict progression from latent to active TB months before conventional tests.