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Their new distributed caching mechanism won a Best Paper Award at the USENIX Conference on File and Storage Technologies earlier this year.

They will explore how human-machine teaming can help mitigate some of the biggest problems facing the U.S healthcare system.

Using existing smartphone components—including the microphone, touchscreen, and accelerometer—the app gathers valuable diagnostic data in a non-clinical setting.