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
Two related technologies, a pipeline for generating a custom PathFX algorithm and a new algorithm named Mr. Rogers, are used to identify protein pathways around drug targets.
Stanford researchers have developed the first topical regenerative treatment for the oral cavity following chemo/radiation. Approximately 60,000 patients in the U.S. are annually diagnosed with head and neck cancer.
Stanford researchers have developed a novel method that enlarges the search space for disease-gene relationships. The main barrier to genome interpretation is the inherent difficulty in prioritizing the millions of genetic variants in known genes.
The Bronte-Stewart lab has designed an algorithm for calculating neural activity burst duration to better manage closed loop deep brain stimulation in patients with Parkinson's disease.
Radiation therapy is a common option in diseases like breast cancer, but can also cause significant damage to the skin. Permanent scarring and fibrosis can result, with both aesthetic and functional consequences for cancer patients.
Researchers at Stanford have developed, for the first time, a high-throughput method to systematically detect and identify silencer elements in the human genome.
Stanford researchers have formulated a risk scoring calculator using a human induced pluripotent stem cell (iPSC) model to accurately predict and calculate insulin resistance via a novel blood test.
Coronary artery bypass grafting (CABG) surgery is performed on nearly half a million patients with multivessel or diffuse coronary artery disease each year in the United States.
Because 98% of the genome does not code for a protein, unraveling how non-coding genetic variants contribute to complex diseases remains a great challenge.
Stanford researchers have developed a safe and effective system that enables neurofeedback training in combination with neuromodulation for the treatment of brain disorders characterized by abnormal neuronal synchrony and synaptic connectivity.
Aging is associated with the decline of mitochondrial function, particularly in related metabolic diseases such as obesity, diabetes, and heart disease.