Wednesday, February 1, 2023
SCIENMAG: Latest Science and Health News
No Result
View All Result
  • Login
  • HOME PAGE
  • BIOLOGY
  • CHEMISTRY AND PHYSICS
  • MEDICINE
    • Cancer
    • Infectious Emerging Diseases
  • SPACE
  • TECHNOLOGY
  • CONTACT US
  • HOME PAGE
  • BIOLOGY
  • CHEMISTRY AND PHYSICS
  • MEDICINE
    • Cancer
    • Infectious Emerging Diseases
  • SPACE
  • TECHNOLOGY
  • CONTACT US
No Result
View All Result
Scienmag - Latest science news from science magazine
No Result
View All Result
Home SCIENCE NEWS Technology and Engineering

Scientists use AI to predict biological age based on smartphone and wearables data

March 29, 2018
in Technology and Engineering
0
Share on FacebookShare on Twitter
IMAGE

Credit: ©Gero LLC

Moscow, March 29, 2018 – Researchers from the longevity biotech company GERO and Moscow Institute of Physics and Technology (MIPT) have shown that physical activity data acquired from wearables can be used to produce digital biomarkers of aging and frailty. The breakthrough demonstration untaps the emerging potential of combining wearable sensors and AI technologies for continuous health risk monitoring with real-time feedback to life & health insurance, healthcare and wellness providers.

Many physiological parameters demonstrate tight correlations with age. Various biomarkers of age, such as DNA methylation, gene expression or circulating blood factor levels could be used to build accurate «biological clocks» to obtain individual biological age and the rate of aging estimations. Yet large-scale biochemical or genomic profiling is still logistically difficult and expensive for any practical applications beyond academic research.

Recent introduction of affordable wearable sensors enables collection and cloud-storing of personal digitized activity records. This tracking is already done without interfering with the daily routines of hundreds of millions of people all over the world.

Peter Fedichev, Ph.D., GERO Science Director, head of MIPT lab, explains: «Artificial Intelligence 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. Inspired by these examples, we explored AI potential for Health Risks Assessment based on human physical activity».

Researches have 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. Novel AI-based algorithm created by GERO scientists has outperformed any previously available models of biological age and mortality risks from the same data.

«Life and health insurance programs have already begun to provide discounts to their users based on physical activity monitored by fitness wristbands. We report that AI can be used to further refine the risks models. Combination of aging 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-aging therapies» — concludes Peter Fedichev.

Gero Scientific team has already developed a free beta-version of an iPhone application Gero Lifespan estimating user's lifespan with the help of the built-in smartphone accelerometer.

###

The AI for Health Risks Assessment work is a part of GERO effort to produce non-invasive, accurate and affordable digital biomarkers of age and diseases using big data available from large biobanks, such as NHANES and UKBB (see https://www.biorxiv.org/content/early/2017/09/09/186569 for further examples of GERO work).

About Gero

GERO is a longevity biotech company developing therapies and offering risk assessment models for life & health insurance, healthcare and wellness providers.

The scientific effort is led by Dr. Peter Fedichev, managing a diverse scientific group of highly qualified biologists, medical doctors, medicinal chemists and computer science experts.

Gero has been recently listed in Trends in Biotechnology.

Website: gero.com
Facebook: fb.com/geroscience

Media contact: Ksenia Tsvetkova [email protected]

Media Contact

Ksenia Tsvetkova
[email protected]
@getgero

gero.com

Related Journal Article

http://dx.doi.org/10.1038/s41598-018-23534-9

Share25Tweet16Share4ShareSendShare
  • Logo

    New study shows snacking on mixed tree nuts may impact cardiovascular risk factors and increase serotonin

    127 shares
    Share 51 Tweet 32
  • Null results research now published by major behavioral medicine journal

    546 shares
    Share 218 Tweet 137
  • Cambridge-led consortium receives $35m to boost crop production sustainably in sub-Saharan Africa

    65 shares
    Share 26 Tweet 16
  • Almost all of Africa’s maize crop is at risk from devastating fall armyworm pest, study reveals

    64 shares
    Share 26 Tweet 16
  • Study seeks to improve pediatric patient safety by addressing language barriers

    65 shares
    Share 26 Tweet 16
  • Connections between peripheral artery disease, negative social determinants of health like poverty may lead to earlier diagnosis, intervention in at-risk Blacks

    64 shares
    Share 26 Tweet 16
ADVERTISEMENT

About us

We bring you the latest science news from best research centers and universities around the world. Check our website.

Latest NEWS

New study shows snacking on mixed tree nuts may impact cardiovascular risk factors and increase serotonin

Null results research now published by major behavioral medicine journal

Hydrogen peroxide from tea and coffee residue: New pathway to sustainability

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 205 other subscribers

© 2022 Scienmag- Science Magazine: Latest Science News.

No Result
View All Result
  • HOME PAGE
  • BIOLOGY
  • CHEMISTRY AND PHYSICS
  • MEDICINE
    • Cancer
    • Infectious Emerging Diseases
  • SPACE
  • TECHNOLOGY
  • CONTACT US

© 2022 Scienmag- Science Magazine: Latest Science News.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In