Precision Health in Research

Bringing Precision Health to research means answering questions we never could have dreamed of asking before.

Excellence in Scientific Discovery

Stanford Medicine is leading the Precision Health revolution through a collaboration that joins fundamental research, biomedical breakthroughs, data science, engineering, business, design, technology, and patient care.

Unifying the effort is our culture of innovation and collaboration, a hallmark of Stanford and in the rest of Silicon Valley.

Harnessing the Power of Data to Improve Health

The foundation for Precision Health is data — whether it’s genomics, epigenomics, metabolomics, electronic medical records imaging, social factors, environment, or lifestyle. All of these kinds of data can serve as the foundation for research that improves population wellness and patient care. Such data can also be used directly to help find the best treatments or preventives for individuals.

The Biomedical Data Science Initiative unites expertise across the University to harness data to the vision of transforming human health. Each year, the annual Big Data in Biomedicine Conference brings together leaders in data science technology to transform the way we diagnose, treat and prevent disease.

Basic Science Departments

Basic science unlocks the mysteries of biology and lays the foundation for detection, treatment and prevention of disease. 

Clinical Science Departments

Clinical science explores how basic science discoveries apply to clinical care, moving the latest innovations from bench to bedside. 

Big Data in Biomedicine Conference

Stanford Medicine's Big Data in Biomedicine Conference brings together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease.

The Green Button

Stanford physicians and researchers are developing ways to tailor treatments to patients by utilizing reams of data that lie dormant in electronic medical records.

A new path-breaking tool, dubbed the Green Button, could provide a real-time solution to a big problem: the limited number of suitable results from clinical trials for the majority of patients.