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PRESS RELEASE For immediate release Lapetus Solutions, Inc. Announces A Breakthrough Involving Wearable Data in a Scientific Paper Featured in IEEE Computer. Wilmington, NC, October 1, 2016 - In a forthcoming article, researchers at Lapetus Solutions are the first scientists to successfully translate a common piece of information from wearable sensors – step count – into a verifiable measure of health risk, and they estimate its impact on health and longevity. According to Dr. S. Jay Olshansky, Chief Scientist at Lapetus, “Hold onto your Fitbit – the data generated by this and other devices is far more valuable than you think.” Olshansky and colleagues combine age, sex, height and weight, walking speed, stride length, steps per mile and calories burned per step, and translate this innocuous data into rich information that reflects improvements in health and expected gains in life expectancy and healthy life expectancy if the level of physical activity – in this case walking – is continued. According to Olshansky, an example illustrates this breakthrough clearly. “Consider a 65-yearold male with a height of 5'7" weighing 175 pounds; by walking at 4 miles per hour for a short time during most days of the week, he can reduce his risk of death by 33 percent relative to people who are sedentary.” And this is only the beginning. “The Lapetus science team is rapidly progressing toward breakthroughs involving the inclusion of other wearable data such as blood pressure, blood sugar, and sleep patterns among others. Taken together, health data from wearable sensors provides a more accurate picture of your overall health than the snapshot you get from blood and urine collected on the day of your once-a-year checkup.” When wearables data is combined with other sources of health data like that collected with the use of a facial image, an individual can develop a scientifically advanced long-term assessment of their own health. “Combining a selfie with wearable sensors provides unprecedented information about a person’s health and wellness”, says Dr. Ricanek, the CIO and Chief Data Scientist at Lapetus Solutions. “Health and behaviors are written on our faces, take for instance smoking: the signs of smoking are quite apparent on the face. These signs are evident even after you stop smoking, unlike blood tests for smoking which fail to detect smoking if you quit just a few days or weeks before the test.” “The selfie is just another type of sensor that tracks with our age and health” and Ricanek predicts that “sensors will eventually replace fluids as a better barometer of health and longevity because they provide health data over time.” Furthermore, sensors can be calibrated to detect health status when traditional methods fail. Consider body mass index, which is widely used as a barometer of health. All BMI calculations are not equal; a couch potato will have a high BMI, but so will some athletes. The selfie can distinguish between a couch potato and athlete because the difference between the two is written on their faces. When health information from wearable devices and facial analytics is then combined with personal financial information like savings rate, readiness for retirement, income, as well as education, age, gender and family history, it is then possible to create a simple easy-toLapetus Solutions, Inc. [email protected] lapetussolutions.com 1 understand “score” that captures for each person, their overall health and financial risk. Scientists at Lapetus call this the Better Life and Income Scoring System, or BLISS score, which will be launched in early 2017. Norvell Miller CFA, the President of Lapetus, sees the emerging data collection tools like wearables and facial analytics, combined with an empirical sciences approach and deep learning technology, as providing an intelligent method for advisors and consumers to make actionable decisions impacting an individual’s future. “Data gathering tools, analysis and scoring systems should help investment and health product companies better design, underwrite and implement solutions for consumers, at much lower prices. In addition, as advisors begin to focus on continuing lifetime relationships with their clients, managing the optionality of time with finite endpoints and multigenerations may become the most important part of the decision process.” Miller adds. The manuscript describing this breakthrough will be published in a special issue of Computer on the 1st of November – the title is “Designing the Future of Smart Health”. Bruce Carnes, University of Oklahoma Health Sciences Center; Claire Yang, University of North Carolina at Chapel Hill; Norvell Miller, Janet Anderson, Hiram Beltran-Sanchez, University of California Los Angeles; Karl Ricanek, University of North Carolina at Wilmington. All authors are affiliated with Lapetus Solutions, Inc. About Lapetus Solutions, Inc. Lapetus Solutions is a venture backed, fintech services company focused on helping the insurance and financial services industries develop and deploy "life event" products. The Chronos underwriting engine uses biodemography and facial analytics to engage consumers online and rapidly approve them for products. The BLISS System provides advisory and scoring functionality, and the Connect platform allows new and existing products to be cloud hosted in a secure and compliant environment. For additional information, please visit www.lapetussolutions.com. Media Contact: Joanna Taylor Director of Administration Phone: 910-202-6000 Email: [email protected] About Computer Magazine The IEEE Computer Society publishes a variety of high-quality, peer-reviewed, topical magazines that represent the best in current research, developments, and timely information, edited to enhance readability and clarity. The IEEE Computer Society's flagship publication, Computer, features technical content covering all aspects of computer science, computer engineering, technology, and applications. Lapetus Solutions, Inc. [email protected] lapetussolutions.com 2