A lot of big names in academia have attended NIH’s Precision Medicine Initiative. Their Workshop of the Precision Medicine Initiative and Working Group of the Advisory Committee to the NIH Director also involves a few select presentations from industry. This has implications in behavioral health as you can see:
Saw this in the POLITICO Morning eHealth newsletter today:
The NIH will wrap up a Precision Medicine Initiative workshop today in Santa Clara. The event is focusing on mobile and personal technologies. (The agenda: http://1.usa.gov/1g1zJhv) Some notes from Monday: “24/7 sensing from smartphones is here, now,” said Dartmouth College computer scientist Andrew Campbell, in describing his work. Using persistent smartphone sensing data, he said, he can predict students’ GPA within seventeen hundredths of a grade point, and can make a reasonably strong guess about whether a student is depressed or not.
– Bonnie Spring, of Northwestern, said that when mixing social networks and wearables, friendship online can predict later success. If a user trying on online communities and wearables to lose weight makes a friend, they’re about 90% to stick around for sixth months, and are more likely to lose weight. But it’s hard to stimulate these relationships. “We’ve only got about 10% of people benefitting,” she said.
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