is a game-changing platform that predicts diabetes risk and drives long-term behavioral change to prevent diabetes in a way never seen before.
proprietary machine-learning algorithms predict personal diabetes risk up-to 7 times more accurately than clinical evaluation.
mobile platform drives long-term personalized and adaptive behavioral change through data driven predictive models.
Pre-diabetes is a state in which blood glucose levels are higher than normal but not yet high enough to be diagnosed as diabetes.
79 Million U.S. and 63 Million EU adults are pre-diabetic. 70% of these will convert to diabetes in 7-10 years. Currently, there is no platform or model to predict individual likelihood of conversion within a given time horizon.
Diabetes is the leading cause of heart disease, stroke, kidney failure, non-traumatic lower-limb amputations, and new cases of blindness among adults.
While a diabetic patient costs $9677 per patient per year, pre-diabetic patient costs only $443 per patient per year. Total yearly cost of diabetes is $194B in the U.S. and €101B in EU.
Achieving 150 active minutes per week has proven, in large clinical trials, to reduce pre-diabetes to diabetes conversion by 58%.
Though very effective, wellness intervention wasn't deployed on large scale due to high cost and scalability challenges.
Extensive experience in leading product divisions with focus on consumer behavior, user experience and engagement through gamification. Previously, executive team member at Playtech, 888 and Snaptu.
Seasoned technology entrepreneur with extensive experience in developing digital engagement channels. Lead the development of the m-Health and m-Banking solutions in Maccabi Health Services, Janssen (subsidiary of J&J), Bank Hapoalim and Bank Discount.
Clinically active Family Physician, key opinion leader on e-Health, m-Health & Tele-Care. Founder and former manager of Clalit Health Services Digital Health Division, one of the largest e-Health platforms in the world.