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From time to time the question “I long would I live” or “When will I die” comes to mind. Some of us wrestle with these questions and if possible, some of us would like to have the answers to these questions. As technology progresses getting to the core of these and other questions may be closer and closer every day. Would you like to know how long will you live? Would you like to know when are you going to die? Well, the answer to your question may by not far from you, actually it may be as close as installing the new application the company Gero has created. Think this very carefully before installing the application; would you really like to know how long would you live? Russian researchers create a startup with the main intention of helping predict our longevity and life expectancy, based on data from our health history and the activity we do. Believe it or not, you're actually as old as you feel. The level of physical activity says more about your possible longevity than your age. The founders of the Russian biotech startup, Gero, believe that certain indicators, such as blood pressure, can say a lot about health and even mortality risks. The members of the emerging company have analyzed with scientists of the Institute of Physics and Technology of Moscow clinical data of 10,000 people between 2003 and 2006 from the National Survey of Health and Nutrition Examination of the US (NHANES). The data of this research contains information on the mobility of people with different health conditions, since they wore an activity wristband in which information was collected on how they went from movement to rest, on the steps they took daily, and much more. "We rely on data on how the person moves. Healthy, young people easily move from rest to movement, but sick and elderly people rise from a chair slowly and gradually, "explains Dr. Piotr Fedehev, director of science at Gero, at Russia Beyond. "Our algorithms can reveal who have a low life expectancy compared to the average population." Neural networks can already detect arrhythmia in EGC data. "Inspired by these examples, we explored the potential of Artificial Intelligence to establish health risks based on human physical activity," said Fédichev. One week of measurements is sufficient for artificial neural networks to predict biological age and risk of mortality. Fédichev explains that the algorithm created by Gero, and based on Artificial Intelligence, has improved the previous models dedicated to measure the biological age and mortality risks with the same data. Life and health insurance will benefit from Gero's technology. "AI can be used to further refine risk models," explains Fédichev, who adds that the combination of aging theory and the latest learning tools can help mitigate the risks of insurance plans. of pensions and contribute to anti-aging therapies. Gero has already developed a free beta version of the app that can estimate the life expectancy of a user with the help of an accelerometer inserted in the smartphone. Although the main focus of the startup is to develop therapeutic methods on aging. "We are paying attention to a way to slow down the changes in the body linked to age and to the way of delaying age-related diseases, such as cardiovascular diseases, brain disorders and cancer," explained Fédichev. "We want to use Artificial Intelligence, not only to assess the risks related to age, but also to find ways to reduce them."

The application is coming soon...

April 15 2018

How Long Would You Live? This app based on Artificial Neural Networks Can Tell You

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