Stanford scientists developed a comprehensive, minimally invasive, dual-catheter pulsed field device that utilizes a rapid and simple integrated mapping/ablation strategy for the treatment of Atrial Fibrillation.
Stanford inventors have created a novel, interactive, highly scalable computational approach for representing dynamic brain activity as a network for use in clinical settings.
Background: Researchers at Stanford have discovered a method to create lattice microneedle structures using high resolution continuous liquid interface printing (CLIP) technology.
Stanford inventors have developed an information theoretic, seizure detection algorithm for electroencephalography (EEG) towards improving diagnosis, management, and treatment of patients with epilepsy.
Researchers at Stanford have invented a novel hydrogel with enhanced retention and extended durability. This hydrogel can be held together three times longer than many alternatives without sacrificing its self-healing attributes during injection.
For orbital fractures, there are advanced solutions for the restoration of bony contour following trauma but the most debilitating functional consequences (pain and double vision) are due to soft tissue injury and entrapment rather than bony distortion.
Researchers at Stanford have developed a novel cell-free stem cell derived extracellular vesicle (EV) therapy powered by pulsed focused ultrasound (pFUS) that enhances its therapeutic and bioenergetic effect.
Stanford researchers have developed a method for assessing neonatal health risk by using longitudinal electronic health records (EHR) utilizing a machine learning model comprising deep learning neural networks.
Stanford scientists have invented a new suite of adaptable hydrogel biomaterials that are optically transparent and injectable for cell encapsulation, tissue engineering, and drug delivery.
Researchers at Stanford have developed a methodology for deep learning-based image reconstruction by incorporating the physics or geometry priors of the imaging system with deep neural networks.
Stanford researchers have developed a new controllable methodology for molecularly targeted ultrasound contrast agent production with pre-formed ligand-phospholipid bioconjugates.