AI, Technology & Innovation

The online portal provides researchers with fast access to tools, data platforms, health-related databases and data-science experts.

Researchers at Stanford have created an algorithm that, guided by previous research, lays out the DNA sequences most likely to align with antimicrobial properties.

In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.

A team led by scientists at the School of Medicine has developed an algorithm that can read the typed-out notes from veterinarians and predict specific diseases that the animal may have.

Researchers at Stanford and several other institutions have linked the gut ecosystems of four Himalayan groups to the extent of each group’s departure from a hunter-gatherer lifestyle.

From the data of more than 40 million births, scientists at Stanford have linked paternal age to birth risks, and even risks to the mother’s health.

The daylong event touched on fixing inefficiencies in EHRs, harnessing data for population health management, building on successes and overcoming obstacles.

Dozens of speakers gathered at Stanford to discuss health, artificial intelligence and evolving technology and how it all could affect patient care at the annual Big Data in Precision Health conference.

Big-data analysts engaged in lively debate on machine learning strategies at a colloquium organized by the Division of Epidemiology.

The two-day conference will feature leaders from academia, government and industry who harness immense data sets to more precisely predict, diagnose and treat disease.

Stanford scientists have found links between changes in a person’s weight and shifts in their microbiome, immune system and cardiovascular system.