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AI can better predict biological age via smartphone data

A state-of-the-art 'Convolution Neural Network' was used to unravel the most biologically relevant motion patterns and establish their relation to general health and recorded lifespan

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There are many good uses of AI, but it can be misused too.
AI can now help astronomers find life on other planet. Pixabay
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  • Artificial intelligence can now predict accurate biological age
  • It can do so by looking at a users’ smartphone data
  • This can help both technologically and medically

Artificial Intelligence (AI) technology can produce improved digital biomarkers of ageing and frailty via gathering physical activity data from smartphones and other wearables, a new study suggests.

AI has the potential to increase India's annual growth.
This technology can prove to be revolutionary. Pixabay

According to the researchers from the longevity biotech company GERO and Moscow Institute of Physics and Technology (MIPT), AI is a powerful tool in pattern recognition and has demonstrated outstanding performance in visual object identification, speech recognition and other fields.

“Recent promising examples in the field of medicine include neural networks showing cardiologist-level performance in detection of arrhythmia in ECG data, deriving biomarkers of age from clinical blood biochemistry, and predicting mortality based on electronic medical records,” said co-author Peter Fedichev, Science Director at GERO.

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“Inspired by these examples, we explored AI potential for ‘Health Risks Assessment’ based on human physical activity,” Fedichev added. For the study, published in the journal Scientific Reports, researchers analysed physical activity records and clinical data from a large 2003-2006 US National Health and Nutrition Examination Survey (NHANES).

They trained neural network to predict biological age and mortality risk of the participants from one week long stream of activity measurements. A state-of-the-art ‘Convolution Neural Network’ was used to unravel the most biologically relevant motion patterns and establish their relation to general health and recorded lifespan.

This technology can be used to create anti-ageing procedures. Wikimedia Commons

“We report that AI can be used to further refine the risks models,” Fedichev said. “Combination of ageing theory with the most powerful modern machine learning tools will produce even better health risks models to mitigate longevity risks in insurance, help in pension planning, and contribute to upcoming clinical trials and future deployment of anti-ageing therapies,” Fedichev noted. IANS

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itel to Launch Dual Rear Camera Smartphone for Rs 7,500

With nine per cent market share, the company also registered a 217 per cent growth in India in 2016-2017

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The smartphone is equipped with a 5MP selfie camera with flash and 13.0MP+VGA dual rear-camera. (IANS)

China-based Transsion Holdings’ itel Mobile is all set to launch its first smartphone with dual rear camera in India on July 17.

The smartphone will sport a slim profile with full screen and ultra-thin bezels, hinting at an 18:9 aspect ratio, industry sources told IANS on Wednesday.

The device is expected to be priced at Rs 7,500 approximately.

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The smartphone may come out with a clearer dual camera that supports various features such as “Portrait” mode, “Lowlight” mode, “Pano” mode along with 5-level “Face Beauty” mode on the selfie shooter.

Refreshing its budget line-up, the company launched two smartphones: “S42” at Rs 8,499 and “A44” for Rs 5,799, in March this year.

With nine per cent market share, the company also registered a 217 per cent growth in India in 2016-2017. (IANS)

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