Stanford researchers have designed a non-invasive, low power ultrasonic neuromodulation device which can target tissue deep in the brain with high spatial-temporal resolution.
Using a novel convolutional neural network architecture, PlexusNet can be used for histologic image analysis with smaller parameter and training sets than current state-of-the-art models.
Stanford researchers have built a sound powered, wireless medical implant. The implant contains a piezoelectric energy receiver, an integrated circuit chip, and a loop antenna.
Local image features have become pervasive in the areas of computer vision and image retrieval and are increasingly finding application in real-time object recognition, 3-D reconstruction, panorama stitching, robotic mapping, and video tracking.
Stanford researchers have developed an intuitive, dynamic construction scheduling software tool called Loops. Loops is both Building Information Modeling (BIM) based and Lean-enabled.
Researchers at Stanford have developed, for the first time, a component analysis algorithm that does not require any assumption on the data structure or data generation process to find out the important components or trends in data.
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.
Stanford researchers have repurposed two existing drugs and created a combined nanoparticle formulation that provides both intraocular pressure management and neuroprotection for glaucoma therapy.
Hemizygous mice are viable and fertile with no anatomic abnormalities. Transgene expression is observed in aorta, heart, and brain. Transgenicdimethylarginine dimethylaminohydrolase (DDAH) activity is reflected in a reduction of plasma asymmetric dimethylarginine (ADMA).
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.
Researchers in Prof. Hongjie Dai's laboratory have developed nanocarbon/inorganic nanoparticle hybrid materials for various electrocatalytic and electrochemical applications, such as batteries and fuel cells. Three types of hybrid materials have been created:
Researchers at Stanford University, UCSB and MIT have invented a novel video compression pipeline, called Txt2Vid, which substantially reduces data transmission rates by compressing webcam videos ("talking-head videos") to a text transcript.
Engineers in Prof. Amin Arababian's laboratory have developed a microfluidics system for ultra high-throughput, low-cost, label-free cell detection in liquid biopsies, fetal cell analysis and other applications.