ICX wants to capture more data about your body than has ever before been possible. It starts with your DNA sequence and includes data from Fitbit-style wearables that measure your steps, heart rate, and sleep patterns. Add frequent blood tests to measure various proteins and enzymes that can, say, reflect the health of your heart or signal very early signs of cancer. Include monitoring of the ever-changing levels of metabolites produced by the body as it processes food; traditional blood tests on levels of cholesterol and glucose; heart data from an EKG; and information from your medical history. The goal: continuous monitoring of your health and suggestions of adjustments you might make in your diet and behavior before you slip from being healthy into the early stages of an illness.

This sounds a little like personalized medicine, which has been discussed for years. But for Wang, it’s not just about treating disease. It’s also about what might be termed personalized health. “Right now you don’t know about your temperature, or your pulse, or the microbes inside you that affect your emotions,” he says. “Or what to do if you have an allergy, or you want to lose weight because you’re fat.”

The devices will help gather, analyze, and display a crush of health data he wants to collect about himself—and, he hopes, from millions of others.

This vision of personal health monitoring is becoming achievable in part because of dramatic cost reductions for sequencing DNA and measuring the many thousands of biological compounds and processes that regulate the body. What all that means for any one of us, especially when all the readings are combined, is unclear. But ICX is part of a new wave of companies that figure they can find something meaningful in the data and enable medicine to stop merely reacting to an illness you have; these companies want to keep you healthy at a fraction of the cost. Unlocking this puzzle, with its millions of moving pieces, is where AI and other advanced computing techniques will have to come in. “AI is how we can take all of this information and tell you things that you don’t know about your health,” says Wang.

Assuming it works, putting all of this together will not be cheap. As CEO of ICX, Wang has raised $600 million in funding for the effort, a remarkable amount for a project offering high-tech tests for healthy people. “But he’ll need it, and probably more, with everything they want to test,” says Eric Schadt, a computational biologist and mathematician who recently stepped down as director of Mount Sinai’s Icahn Institute for Genomics and Multiscale Biology in New York. Schadt has launched his own health data company, called Sema4, which is scanning genomes and molecular biomarkers.

ICX is using its pile of cash in part to invest in or acquire companies that might contribute to Wang’s holistic vision. This includes a $161 million stake in Colorado-based SomaLogic, which is working on a chip that can measure 5,000 proteins in the blood; more than $100 million in PatientsLikeMe, a company in Cambridge, Massachusetts, that provides an online platform for more than 500,000 patients to share experiences, metrics, and feelings about their health and diseases; and $40 million in AOBiome, also of Cambridge, which sells spray-on microbes that it says make skin healthier. ICX also recently invested in HealthTell of San Ramon, California, which identifies antibodies from a blood sample as clues to the presence and progress of diseases including cancer and autoimmune disorders. Additionally, ICX is also collaborating with several companies in China.

Yann Kebbi

Tying this eclectic alliance together is an aggressive effort to build an artificial-intelligence system that will attempt to analyze all this data. That’s being led by Israel-based iCarbonX-Israel, which ICX acquired last year. Founded in 2005 as Imagu Vision Technologies, the company develops software to interpret CT and other medical images. Now Imagu’s engineers are working with counterparts at ICX to create what they call a “virtual health brain” that will interpret the thousands of data points ICX wants to collect on each customer. “We want to create a tool that not only analyzes data but offers ways to help people improve their health, like how to alter their diet,” says Imagu CEO and cofounder Mor Amitai.

“If this all sounds ridiculously complicated, it is,” says Wang, smiling in a way that blends reassurance—which undoubtedly is appreciated by investors—and bemusement, as if he knows that what he is proposing sounds a bit daft. The question, then: can he use his money and technical savvy to revolutionize medicine?

Precision health

A tall man with short black hair, Wang strolls coolly through his company’s headquarters, a Silicon Valley knockoff with open workstations, glass-walled conference rooms, a gym, and a café always stocked with food, healthy drinks, tea, and coffee. It’s on the third floor of an industrial-park building in a complex of similarly unexceptional structures tucked between two sprawling, wooded theme parks called Happy Valley and the China Folk Culture Village. In the back of ICX’s HQ is Wang’s office, a comfortable niche with deep leather chairs and a private conference room—a business setting that is a long way from where Wang started, as an academic researcher sequencing DNA at Beijing University in the late 1990s.

Wang authored over 100 studies as a professor at the University of Copenhagen and as a bioinformatics whiz at the Beijing Genomics Institute (BGI), which he helped found in 1999. BGI was the organization that led China’s relatively small contribution to the Human Genome Project, a worldwide effort in which several countries worked on different segments of the human DNA sequence published in 2003. BGI later churned out the first complete DNA sequences of an Asian person, a strain of rice, the SARS virus, and the giant panda. During his stint as BGI’s CEO, Wang helped build the company into one of the largest sequencing operations in the world. In 2016, it had revenue of $250 million, and this summer it issued an IPO. Wang remains a major shareholder and a member of the board.

“You also need millions of people—maybe as many as 10 million people—to get meaningful signals for common diseases.”

But he left BGI in 2015 because he was frustrated by the limits of genomics. Specifically, sequencing DNA doesn’t provide much insight into the health of most individuals. Scientists have found countless DNA markers that seem as if they should help determine whether a person is healthy or sick. But those markers have turned out, nearly 15 years after the completion of the Human Genome Project, to make less of a difference than originally thought. With the exception of certain rare genetic mutations, DNA is just one determinant of a person’s medical fate. “It turns out you also need to know about proteins, and metabolites, and all the rest,” says Wang.

Soon after his departure from BGI, Wang formed ICX, knowing he would do something with AI and health. But he wasn’t sure exactly what data besides DNA the company could, or should, collect. To figure it out, he met with a range of experts and companies, including a pivotal meeting in July 2016 at the Original Max’s restaurant in Burlingame, California, near the San Francisco airport. In town pitching ICX to investors and prospective partners, Wang had arranged to see Jamie Heywood, the cofounder and chairman of PatientsLikeMe, who was visiting from Boston. As they sat in an orange-and-yellow plastic booth in the truck-stop-style café, it didn’t take Heywood and Wang long to realize that they shared a fundamental exasperation with the limitations of today’s medical practices. Giving people more data seemed like a promising route. PatientsLikeMe, which runs a service where thousands of members discuss their various chronic diseases in online forums and provide metrics about their health and the progression of their disease, had already shown the value of careful health tracking by individuals. Drinking coffee, Wang and Heywood dissed classic medical testing, which tends to be static, with one test taken at a time—an EKG in a clinical setting every year or two, for example, or when symptoms seem to warrant it. “We got excited about the possibility that we could discover the early stages of when a person shifts from good health to, say, becoming a diabetic,” says Heywood, an MIT-trained engineer. “We both agreed that the technology is there, or is close to being there.”