News & Announcements

Discover the latest research developments and scientific achievements of the BMIR team

Gevaert and Gentles Featured in New PanCan Papers

BMIR'S Andrew Gentles and Olivier Gevaert, and Aaron Newman from the Department of Biomedical Data Science, contributed greatly to the completion of The Cancer Genome Atlas (TCGA) PanCan initiative, a decade-long process that culiminated in the release of a series of 27 papers.



Researchers Help Develop Technique for Assessing, Reducing Risk of Future Stroke

Using health records, Stanford researchers developed an algorithm for scoring the risk of a stroke patient experiencing a heart condition known as atrial fibrillation, a major risk factor for a second stroke.

Wanted: More Data, the Dirtier the Better

The computational immunologist Purvesh Khatri embraces messy data as a way to capture the messiness of disease. As a result, he’s making elusive genomic discoveries

To distill a clear message from growing piles of unruly genomics data, researchers often turn to meta analysis a tried and true statistical procedure for combining data from multiple studies.

“I think I’ve finally found my calling in immunology.”

Having come to the United States from India in 1998, Purvesh Khatri, originally planned a career as an electronics and communications engineer.

Adventures of a Proud Data Parasite

Analyzing other people's data has been linkened to research parasitism. Purvesh Khatri is "repurposing data to ask and answer questions that are not addressable using traditional approaches". He is "a proud data parasite."

Stem Cell Discoveries

The Gevaert lab discovered two types of intestinal stem cells using bioinformatics analysis of transcriptome data of several populations of intestinal stem cells. This work was a highly collaborative effort in the context of a national network of intestinal stem cell researchers.

Gevaert Lab featured in Science Translational Medicine editorial on meta-analysis method

Katie Planey developed a method called CoINcIDE, a meta-analysis method to look for clusters across several data sets.

Gevaert and Cheerla Create Web-Based Tool for Cancer Diagnosis and Treatment Options

What do a Stanford Assistant Professor and Monte Vista High School student have in common? Disrupting the current state of the art in cancer diagnosis and treatment!

Mining information contained in clinical notes could yield early signs of harmful drug reactions, study shows

Nigam Shah and his colleagues have developed a method to extract data from records of interactions between doctors and patients to yield information about possible drug side effects.

Blood test could transform tuberculosis diagnosis, help monitor treatment effectiveness

A simple blood test that can accurately diagnose active tuberculosis could make it easier and cheaper to control a disease that kills 1.5 million people every year.