Diagnosis and sub-typing of inflammatory bowel disease (IBD) subsets, such as Crohn's disease (CD) and ulcerative colitis (UC), often require the use of repeated, invasive, and expensive endoscopy procedures, which are not without risk.
Researchers in Professor Justin Sonnenburg's laboratory have developed genetic tools for manipulating Bacteroides, a prominent genus of gut bacteria, for imaging, diagnostics, and therapeutic drug delivery.
Stanford researchers have identified a small set of genes that can be used to diagnose active tuberculosis (TB), distinguish active TB from latent TB or other diseases, and predict progression from latent to active TB months before conventional tests.
Stanford researchers have developed a novel blood-based diagnostic platform that leverages circulating bacteriophage DNA (phage cfDNA) to enable sensitive and highly specific detection of both overt and subclinical bacterial infections, while effectively discriminating them fr
Stanford scientists have developed innovative methods for safely collecting, preserving, imaging, and molecularly profiling human brain tissue that remains on explanted intracranial electrodes used in neurosurgical procedures.
Stanford researchers in the Cochran Lab have patented a potential pancreatic cancer therapeutic approach using novel agents that bind tightly to and inhibit a cancer factor called LIF (leukemia inhibitory factor).
Non-small-cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancer cases, making it the leading cause of cancer-related deaths globally. Post-surgical recurrence and treatment resistance are the main causes of cancer-related mortality.
Stanford researchers have developed a more sensitive and accurate pathogenic infection diagnosis method using intact genetically modified pathogens. Pathogen infection clinical diagnosis requires direct pathogen detection or the detection of pathogen specific antibodies.
Researchers at Stanford University have demonstrated rapid and accurate identification of extracellular vesicles (EVs) from different cell lines using an AI-assisted optical platform.
Necrotizing enterocolitis is a life-threatening illness almost exclusively affecting the gastrointestinal tract of neonates. It's caused by bacterial invasion of the intestinal wall, which leads to inflammation and cellular destruction of the wall of the intestine.
Researchers at Stanford University have developed a software that applies correction algorithms on sequence data from cell-free DNA (cfDNA) in blood samples to estimate total T and B cell counts.