Stanford researchers in the Woo Lab have developed a novel device that allows for direct visual assessment of the aortic valve apparatus under physiologic pressure in aortic valve procedures.
Stanford researchers have developed a contrastive learning approach that can significantly reduce the amount of labeled electrocardiogram (ECG) data required for downstream healthcare tasks, such as arrhythmia identification.
Stanford researchers have developed a new transcatheter, minimally invasive neochordal device for repair of mitral regurgitation, which does not require open heart surgery nor cardiopulmonary bypass.
Stanford researchers have developed a novel catheter technology for sensing embolic delivery and reflux as a strategy to eliminate need for X-ray imaging during angiography.
Acute and end stage renal disease affects patients across all ages. Pediatric patients are usually treated with hemodialysis, which requires them to be surgically implanted with a central venous catheter (CVC) for dialysis access.
Stanford researchers at the Taylor Lab have developed software subroutines that can be used together with the open source software system Simvascular to improve the simulation of blood flow in modeling coronary arteries.
Developed at the Taylor Lab, Simvascular is an open source software package encompassing an entire cardiovascular modeling and simulation pipeline from image segmentation, three-dimensional (3D) solid modeling, and mesh generation, to
This bandage-like multi-lead, continuous ECG monitoring device uses new stretchable electrode material developed in the Bao group to accurately and imperceptibly diagnose cardiac arrhythmia.
Stanford researchers at the Moore Lab have developed an algorithm for on-line, real time post processing of large amounts of neuronal data from high-density, multi-channel electrophysiological recordings to identify which neurons were firing (on-line spike recovery).
A team of interdisciplinary researchers at Stanford have developed a small, lightweight optical strain sensor device to sensitively measure forces within the mitral valve apparatus to help determine the appropriate repair technique for patients undergoing valvular surgery for
Stanford researchers have developed a novel and efficient method for generating real-time 3D volumetric computed tomography (CT) images with 2D single or few-view projections, instead of several hundreds of projections as required in existing CT imaging system.
Prof. Alison Marsden and her colleagues have developed a computational framework that uses personalized anatomical information to identify patients that have a high risk for saphenous vein graft (SVG) failure after coronary artery bypass graft (CABG).
Stanford researchers have developed a wirelessly powered, fully internal implant which allows for optogenetic control of neurons throughout the nervous system in mammals, and in particular, mice.