Lee S Dryburgh
June 29, 2016, 09:53 pm
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There is widespread agreement that lifestyle focused preventative approaches are the most effective way to combat conditions like diabetes and heart disease. But behavior change is hard, and to date, even the most effective in-person programs include little (or no) personalization. The data science team at Omada is changing that. We’ll discuss how we’ve built machine learning and experimentation directly...
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Lee S Dryburgh
May 25, 2016, 07:57 pm
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There is a tremendous amount of information and data generated form the proliferation of wearable technologies today. From steps to heart-rate, much of this information create a context and provide real-time feedback to encourage the users to make healthier choices and actions in managing their own wellbeing. One notable gap exists in the body of data that can be generated...
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Lee S Dryburgh
May 20, 2016, 12:36 pm
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Mobile technology is shaping us for better and worse. Given this, how might smartphones be used well, to promote flourishing? One way forward involves the use of experience sampling, which records individuals’ experiences in the context of daily life. The integration of smartphones, sensors and experience sampling platforms offer ways of collecting psychological and physiological data on human growth and...
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Lee S Dryburgh
May 09, 2016, 06:58 pm
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We’re all familiar with getting our blood drawn at the doctor’s office. What if wearables could tell us our digital biomarkers continuously and painlessly? We’ll report on a collaboration between Cardiogram and UCSF Cardiology, touching on deep learning, wearable heart rate sensors, and healthcare. We’ll describe some well-understood biomarkers from the medical literature—resting heart rate, heart rate variability, and heart...
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Lee S Dryburgh
April 27, 2016, 05:50 pm
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From mass media, health tech devices seem to only count steps or help you stick to your meds. But innovative and advanced combinations of hardware and software are coming to market to do much, much more: Wearapeuthics and Predictive Care: What if wearables could not just track your physical activity but prevent mental or physical issues from appearing, and even...
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