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Enabling Access to Continuous Metabolic Data for Personalized Nutrition and Wellbeing

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The human body is a complex machine that’s unique to each of us. Understanding this uniqueness is vital to understanding your health. But getting to know the ways your body is different from everyone else is challenging. Our mission at Sano is to build an accessible platform featuring wearable sensors and devices, which allow your body to talk to you....

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Aging Independently Using Machine Learning, Advanced Sensors and Algorithms

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The population of Aging Adults is growing rapidly throughout the world, in the US alone more than 11,000 adults turn 65 each day. Staying at home as one ages is unquestionably cheaper and more healthful, but it brings risks to those living alone or needing care. Homecare is usually provided by caregivers visiting on a regular basis to check and...

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Beyond Quantified Self: How Quantifying Everything Is Not Enough To Improve Societal Wellbeing

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Continuous health measurement through sensors and advancements in genetics is enabling us to quantify our bodies and environment in ways only imaginable at the turn of the century. However, despite an increasing set of tools and approaches, it remains surprisingly difficult to generate meaningful and actionable insights for individuals. To make matters worse, these tools and accompanying services often come...

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The Future of Clinical Practice will be Optimizing Health

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The health care system actually a sick care system focused on disease. In the future, mainstream doctors’ office will be focused on your wellbeing rather than just looking for illness. Radical healthspan extension is possible with the right prescription for laboratory testing and tracking technologies combined with personalized nutrition, exercise, stress management, supplements and medicine. We have all the knowledge...

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Improving Consumer Smartphone Based Disease Prevention with Machine Learning

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Alistair is convinced machine learning could offer significant advantages for disease prevention, particularly in eliciting new knowledge about the relationship between risk factors and disease. Although his smartphone app, Quealth, is already referenced as one of the world’s most effective algorithms at predicting your risk of diabetes, Chronic Obstructive Pulmonary Disease (COPD) and Cardiovascular Disease (CVD), he believes this can...

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