Stanford researchers have developed a new method of imaging cholesteatoma, an expanding and destructive lesion of the middle ear and mastoid, based on its chemical composition.
Stanford scientists have invented a new PET-nanophotonic metamaterial scintillator that consists of tunable scintillating alkaline-earth rare-earth fluoride nanoparticles (MLnF) for low-dose, high-resolution PET imaging.
Stanford researchers in the Bao lab have developed a new fabrication method to create stretchable transistors for electronic skin. It produces a soft, stretchable material capable of sensing pressure, temperature, strain, and more.
Researchers at Stanford have developed an innovation that will enhance the depth of the imaging capabilities for optical coherence tomography (OCT) imaging.
Stanford researchers have developed strain-sensitive, stretchable, and self-healable semiconducting film. The researchers have created a multiplexed sensory transistor array using this material which can detect strain distribution by surface deformation.
Stanford researchers in the Bao Lab have developed damage-resistant stretchable electronic materials and devices that can be used in wearable electronics.
This technology is a category of colorful low-emissivity paints that form bilayer coatings, designed to enhance thermal insulation. Maintaining optimal thermal environments poses significant challenges for human comfort, energy efficiency, and sustainability.
Knee osteoarthritis is the most common cause of musculoskeletal pain in adults, leading to limited mobility and various health issues. This breakthrough technology developed by Stanford researchers offers a promising solution.
Stanford researchers at the Snyder Lab have developed a novel software application, called the Metabolic Subphenotype Predictor, which predicts if a patient is insulin resistant through continuous glucose monitoring.
This software is a transformative technology in the fields of AI and digital image processing, offering a breakthrough approach to convolution, particularly for large-scale images.
Stanford researchers have designed a remote digital health platform to assist diagnosis and management of some inflammatory skin conditions, such as eczema.
Stanford researchers at the Lee Lab have developed a new system and method for measuring pathology then applying a novel algorithm to optimize neurostimulation therapy for altering pathology for treatment of neurodegenerative diseases.
Stanford researchers at the Lee Lab have developed a method to understand whole-brain circuit mechanisms underlying neurological disease and its application to predict the outcome of therapeutic interventions.
Stanford researchers have developed a patient classification method (healthy, idiopathic, diabetic, etc.) based on a quantitative assessment score derived from autonomic and gastric electrocardiogram (ECG) and electrogastrogram (EGG) data.