Stanford researchers at the Airan Lab have developed a new deep learning approach to dramatically reduce the amount of ultrasound data required to produce high quality power Doppler images for functional ultrasound (fUS).
Researchers at Stanford have developed fusion proteins, containing ACE2 domain linked to a fragment of non-neutralizing anti-SARS-CoV-2 spike protein antibody, with a greater breadth of protection than previously described similar fusion proteins.
Stanford scientists have discovered a novel approach to address cardiovascular complications resulting from cancer chemotherapy, particularly those caused by tyrosine kinase inhibitors (TKIs).
Ion channel dysfunctions lead to a wide array of illnesses including epilepsy, cardiac arrhythmia and type II diabetes. However, the number of clinically approved drugs for restoring normal ion channel function is limited.
Stanford researchers have developed an architecture and control scheme for the coordination of distributed energy resources (DER), such as solar and storage, to minimize operation cost, enhance network reliability, and provide DER aggregation.
Researchers in Dr. Michael Lin's lab have developed a fluorescent voltage sensor for non-invasive optical monitoring of electrical events in living cells in vitro and in vivo.
Stanford researchers have developed a novel phantom which can integrate quality assurance (QA) procedures for radiofrequency tracking system, surface mapping system, Winston-Lutz test, the imaging system isocenter test and laser verification.
Stanford researchers have developed a Data-driven Urban Energy Benchmarking (DUE-B) methodology that uses readily available building energy consumption data to help municipalities design and develop energy efficiency policies and programs.
Stanford researchers at The Lee Lab have discovered a novel epidermal tumor suppressor to treat squamous cell carcinoma (SCC) by utilizing existing drug therapies.
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).
Patients with celiac disease have a pathological reaction to gluten and have either HLA-DQ2+ (90%) or HLA-DQ8+, but expression of these MHC class II haplotypes is not sufficient and other factors are necessary for the development of celiac sprue.
The ascending somatosensory pathway transmits sensory information, including pain, touch and itch, from the peripheral nervous system to the brain. Dysfunctions in this pathway are linked to disorders like peripheral neuropathy and autism spectrum disorder.
Stanford researchers have used deep learning to create a radiotherapy treatment plan verification algorithm. Patient specific dose verification is traditionally done by checking the dose in a patient-mimicking phantom or by using an independent dose calculation algorithm.