Future Health Challenge: Building Anticipatory Health Systems through Population Sensing
Awards up to $300,000 in prize funding to for-profit, non-profit or hybrid teams building technology-enabled population-sensing solutions that shift health systems from reactive care toward predictive, anticipatory models.
Future Health Challenge: Building Anticipatory Health Systems through Population Sensing is a Future Health prize that awards up to $300,000, with individual prizes of $50,000 to $200,000, to for-profit, non-profit or hybrid teams building technology-enabled population-sensing solutions that shift health systems from reactive care toward predictive, anticipatory models. MIT Solve, whose programs h…
The challenge is looking for solutions that improve population risk forecasting, strengthen disease surveillance and early-warning systems, develop low-tech or community-based sensing methods for underserved settings, and enable AI-powered decision support for public health and primary care. It welcomes high-tech, low-tech and human-mediated sensing approaches alike, including apps, AI, wearables, drones and traditional or ancestral knowledge systems.
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