Biomedical Data Science Initiative
From curing individual patients to healing entire populations, we are leading the way to a healthier world.
A world where your data transforms not just your health, but the health of people everywhere. Where doctors instantly search millions of medical records to find what worked for patients just like you. Where new drugs are developed — and new uses are identified for existing drugs — at rapid speeds. Where we can finally predict diseases in both people and populations and prevent illness before it even occurs. By harnessing the power of large-scale computing and data analysis, we’ll make this world a reality.
We’ll untangle the awesome complexity of human health and disease and create longer, better lives.
The Stanford Biomedical Data Science Initiative is bringing medicine into the 21st century
With Stanford’s powerful engines of basic, translational and population research, our computational expertise and our history of tackling society’s big problems, we’re changing how biomedical research is done.
We’re smashing silos to connect the health data of millions and leveraging that data—at every scale—to personalize treatment and improve outcomes.
We’re training the next generation and fostering a new breed of scientist to work at the intersection of the life and quantitative sciences.
We’re addressing the legal and ethical issues that are holding medicine back.
No other place on earth has the technological and intellectual capital to accomplish this as quickly and efficiently.
Stanford was the academic incubator of the digital revolution. Nurtured by our unrivaled atmosphere of collaborative exploration and entrepreneurial spirit, companies born on and around our campus have not only spread across the globe, they have transformed it.
Now, these same innovators are helping us drive a new revolution in biomedicine forward.
In 2014, Stanford was ranked #1 in computer science, biological sciences, genetics, genomics, bioinformatics, artificial intelligence, statistics, entrepreneurship and business by U.S. New & World Report.
Big Data News
Stanford Medicine News
Blood biomarkers predict labor onset
About three weeks before delivery, a pregnant woman’s body shifts into a pre-labor phase characterized by changes in immune, hormonal and blood-clotting signals.
Using population data to prevent disease in individuals
In a virtual chat, the School of Medicine’s dean and the chair of epidemiology and population health discussed how the seemingly distinct fields can intersect to boost health equity.
Digital health tools aid in weight loss
Digital health tools, such as diet-tracking apps, increase engagement in weight loss programs, helping users shed pounds, according to a new study.