Launched in July early this year, the app analyzes personal data such as age, height, weight, daily calorie intake, exercise levels, and more to predict the date. Developer Brent Franson says that the AI was trained on a dataset of more than 1,200 life expectancy studies with some 53 million participants. The results, he says, are a ‘pretty significant’ improvement on the standard life-table expectations.
from Health News | Latest Healthcare Sector & Healthcare Industry news, Information and Updates: ET HealthWorld : ETHealthworld.com https://ift.tt/YhtFOA8
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