Stanford researchers have developed a software tool called GapMap that contains one of the most robust resource databases for families with autism, compiled via exhaustive machine-learning methods, and highlights gaps in clinical services.
Stanford researchers at the Rao Lab have developed apoptosis imaging probes with an improved new molecular structure enabling high sensitivity and stability with better performance in vivo.
Stanford researchers have developed a non-invasive method of assessing chromosomal composition in human embryos at the blastocyst stage, thus potentially improving chances of success following in vitro fertilization (IVF).
Stanford researchers have developed methods for genetic and epigenetic diagnosis of embryos to determine those of which are more likely to be chromosomally normal and advance in development. This assessment method allows selection of healthier embryos for implantation.
Researchers at Stanford have developed the paperfuge- an ultra-low cost (20 cents), light weight (2g) field portable centrifuge (125,000 rpm; 30,000 g RCF) made out of paper that runs on human power.
Stanford researchers have developed a PCR-based method that detects disease-relevant, isotype-specific antibodies and can be used to diagnose allergy. Allergy is a prevalent immune hypersensitivity disease that affects more than 20% of the US population.
Researchers at the Solgaard Lab have demonstrated that light sheet fluorescence microscopy (LSFM) with structured and pivoting illumination enables fast image acquisition and improved image quality.
This invention describes the designing of biochemical probes for acid-fast bacteria detection. This probe will measure the presence of acid-fast bacteria in a biological matrix.
Stanford researchers have developed a quantitative, noninvasive, and early predictor of viability at the early embryo and oocyte stage using mechanical biomarkers.
Researchers in Prof. Julia Salzman's laboratory have developed a sensitive, specific algorithm for automated, high-throughput detection of RNA fusions from RNA-Seq data.
The technologies described in this patent address a critically important deficit in the statistical methods available to enable comparison of outcomes measured by flow cytometry or similar, data intensive technologies.
Researchers in Dr. Daniel Rubin's lab have developed a method for computational analysis of digital pathology images for computer aided diagnosis and discovery of novel disease subtypes.
A team of Stanford researchers has identified mutations in the LNK gene in a subset of patients with chronic myeloproliferative neoplasms (MPNs). LNK (also known as SH2B3) is an adaptor protein that inhibits JAK-STAT signaling.
Stanford Prof. Juan Santiago and a team of engineers have developed a method of speeding up chemical reactions between a probe on a surface and a molecule in solution.
Drs. Purvesh Khatri and Timothy Sweeney at Stanford have identified a set of three genes that can be used to diagnose active tuberculosis (TB) and distinguish active TB from latent TB or other diseases. TB is a worldwide public health problem.