Big Data

A diagnostic test developed by Stanford Medicine scientists can separate bacterial and viral infections with 90% accuracy, the first to meet standards set by the World Health Organization.

Stanford Health Care earned a Most Wired recognition for using outstanding technology in ambulatory and acute care.

As the inaugural chief data scientist for Stanford Health Care, Nigam Shah will lead an effort to advance the use of artificial intelligence in patient care and hospital administration.

A research effort led by Stanford scientists set the first Guinness World Record for the fastest DNA sequencing technique, which was used to sequence a human genome in just 5 hours and 2 minutes.

Stanford Medicine researchers created an algorithm to notify smartwatch wearers of stress, capturing events such as air travel, extended exercise and illness.

Stanford Medicine researchers created a new type of medical consult that harnesses millions of electronic health records to bring new insights to patient care.

By tracking which scientific papers are cited by patents, researchers can quantify which studies contribute to real-world applications.

The report documents key trends steering the industry’s future, including a maturing digital health market, new health laws opening patient access to data, and artificial intelligence gaining regulatory traction for medical use.

Researchers used artificial intelligence and de-identified data from electronic health records to identify the safest types of hip implants.

In an interview, computational biologist Tina Hernandez-Boussard discusses analyzing the value of electronic health records as a source of information in the clinic.

Invisible sensors, machine learning for disease diagnoses, big data in the clinic and more took the stage as topics at this year’s Big Data in Precision Health Conference.