Genome editing of human hematopoietic stem and progenitor cells (HSPCs) has the potential to create a new class of medication for the treatment of inherited and acquired genetic diseases of the blood and immune system.
Stanford researchers have identified an appropriate method and dosage for radiotherapy-based noninvasive lung volume reduction to treat severe emphysema.
Many applications in cell therapy, synthetic biology, and gene therapy require extensive cell engineering, often with multiple vectors due to limitations in packaging capacity.
Stanford researchers have developed a method for manufacturing high quality multifunctional soft electronic fibers based on conventional microfabrication techniques.
Stanford scientists have discovered that blocking an immune receptor signal can lead to increased fat uptake and weight reduction in patients suffering from obesity and associated diseases.
Stanford researchers have discovered RNA signatures that can be used to predict patient outcomes and identify optimal treatments in acute myeloid leukemia.
Researchers at Stanford University have discovered a way to enhance the effectiveness of CAR-T cell therapeutics through inducing a more memory-like phenotype.
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.
Stanford researchers in the Zhao Lab have developed a mechanical thrombectomy device for Pulmonary Embolism (PE) that mechanically debulks and reduces volume of large clots without causing fragmentation.
Stanford researchers at the Zhao Lab have designed milli-spinner thrombectomy devices that mechanically debulk clots by safely shredding the clots for fast and complete clot removal.
Stanford researchers have developed a set of intervention videos to improve mindsets about osteoarthritis and exercise, which was proven in a randomized clinical trial to increase physical activity levels and overall health and wellbeing in an individual.
Stanford researchers have developed an innovative approach for accurate and automated cell classification on H&E-stained images using multiplexed immunofluorescence (mIF) imaging, eliminating human annotations, and enhancing biological interpretability in histopathology.