Researchers at Stanford have created a method to differentiate human pluripotent stem cells (hPSCs) into >90% pure hematopoietic stem cell (HSC)-like cells, which serve as progenitors to blood and immune cells.
A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models.
Stanford researchers have developed easyBAT, a simplified solution integrating a microfluidic sample preparation device with a fully automated analysis pipeline for rapid, accurate and accessible solution for food allergy diagnosis at the point-of-care.
Inventors at Stanford University have developed a light-based 3D printing system that achieves high printing resolutions and fast printing speeds with cell-compatible natural protein biomaterials when compared to existing methods.
Skin wounds invariably heal by developing fibrotic scar tissue, which can result in devastating disfigurement, growth restriction and permanent functional loss.
Stanford inventors have developed a novel diagnostic tool that identifies distinct immune signatures in the peripheral blood of osteoarthritis patients using mass cytometry (CyTOF) and applied machine learning.
A team of Stanford researchers has identified a group of small molecules that can prevent or reverse T cell exhaustion, thereby increasing the effectiveness of adoptive T cell therapies to fight cancer or chronic infections.
Stanford inventors have developed a method of using human induced pluripotent stem (hiPS) cells to generate three-dimensional neural floorplate organizers that are functionally active and capable of choreographing midline brain development.
Stanford researchers have developed novel technology that combines AAVMYO, a muscle cell targeting viral vector, with CRISPR base editors to achieve targeted gene repair, showcasing over 70% correction of hereditary mutations in cardiomyocytes.
Patients who experience heart attacks often have immediate ischemia and cell death, which causes a decrease in cardiac function, contributing to higher mortality and morbidity.
Stanford BIODESIGN researchers have developed a disease breathalyzer for detecting necrotizing enterocolitis in newborns. Newborn babies face a high risk of blood infections (sepsis) and gastrointestinal inflammation and injury disease (necrotizing enterocolitis 'NEC').
Stanford researchers have invented a unified AI architecture that integrates foundational models (FMs) with AI techniques for efficient analysis of fMRI data in psychiatric disorders.
Stanford researchers have developed a new methodology called transcript-informed single-cell CRISPR sequencing (TISCC-Seq), for the direct detection and phenotyping of genetic variants in a high-throughput manner.