Called Baseline Study, Google's project will gather anonymous genetic and molecular information to create a full picture of what a healthy human is.
The early-stage project is run by Andrew Conrad, a 50-year-old molecular biologist who pioneered cheap, high-volume tests for HIV in blood-plasma donations.
Dr. Conrad joined Google X—thecompany's research arm—in March 2013, and he has built a team of about 70-to-100 experts from fields including physiology, biochemistry, optics, imaging and molecular biology.
Other mass medical and genomics studies exist. But Baseline will amass a much larger and broader set of new data. The hope is that this will help researchers detect killers such as heart disease and cancer far earlier, pushing medicine more toward prevention rather than the treatment of illness.
"With any complex system, the notion has always been there to proactively address problems," Dr. Conrad said. "That's not revolutionary. We are just asking the question: If we really wanted to be proactive, what would we need to know? You need to know what the fixed, well-running thing should look like."
The project won't be restricted to specific diseases, and it will collect hundreds of different samples using a wide variety of new diagnostic tools. Then Google will use its massive computing power to find patterns, or "biomarkers," buried in the information. The hope is that these biomarkers can be used by medical researchers to detect any disease a lot earlier.
The study may, for instance, reveal a biomarker that helps some people break down fatty foods efficiently, helping them live a long time without high cholesterol and heart disease. Others may lack this trait and succumb to early heart attacks. Once Baseline has identified the biomarker, researchers could check if other people lack it and help them modify their behavior or develop a new treatment to help them break down fatty foods better, Dr. Conrad said.
Google has already built one of the world's largest networks of computers and data centers to serve online-search results quickly and run other data-hungry services like the video website YouTube. This computing muscle can now be used to store and crunch medical information and let other researchers access it more easily.
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