Researchers at Stanford and the Chan Zuckerberg Biohub have developed a transcriptomic characterization of human endometrium and identified specific gene signatures for use in evaluating endometrial samples for one or more menstrual cycle events.
Researchers at Stanford have developed the SNAIL-RCA method for inexpensive and efficient multiplexed detection of single RNA molecules in single cells.
Researchers at Stanford and the Chan Zuckerberg Biohub have developed methods for independent tuning of aptamer switching binding affinities and kinetics.
Stanford researchers have applied large-scale proteomic platforms to identify biomarkers that can be used to diagnose uveal melanoma and subtype eye tumors according to their gene expression profile (GEP) class or PRAME status.
Scientists at Stanford have developed a machine learning program with broad potential for diagnostic applications which analyzes mass spectrometry data profiling metabolites in a patient sample ("metabolomics" data) and predicts infection status.
Researchers at Stanford have developed a method of using intact genetically modified pathogens for more sensitive and accurate diagnosis of pathogenic infection.
The Ji lab has developed a sequencing assay to provide genetic diversity information of microsatellite and chromosomal instability (MSI) in colorectal cancer. MSI arises from a loss of DNA mismatch repair in colorectal cancers, making them genetically diverse.
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.
Stanford researches have formulated a robust database called PRECOG (Prediction of Clinical Outcomes from Genomics) that connects cancer genome expression and patient survival/outcomes in a more predictive and extensive collection than any other signature on the market.
Engineers at Stanford have invented a smart toilet platform that will autonomously monitor excreted waste from humans. We describe easily deployable hardware and software for the long-term analysis of a user's excreta through data collection and models of human health.
Researchers at Stanford have developed methods to improve the diagnosis of narcolepsy. Narcolepsy is a disorder in which people experience excessive sleepiness and uncontrollable episodes of falling asleep.