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Home2020-07-01T16:15:18+00:00

HACKING AGING

Hpredict is an AI-powered platform focused on aging.

The Challenge

The use of medical devices and wearable technology is exploding. The web-connected wearable devices has generated massive amounts of high quality measurements, including physical activity tracks and heart rate . Over 400M of such devices will be sold in 2020. This creates an unprecedented opportunity for aging research.

Our modeling platform allowed us to perform a systematic evaluation of the relationship between health indicators and mortality risk. The HPredict AI platform is able to handle large scale data analysis combining structured and unstructured data from many sources to develop new insights into longevity. We support various versions of the platform tuned for the specifics medical problems crucial for managing  a lifespan. The platform is easy to use by clinicians, patients and researchers.

  • Personalized Age Hacking Tool – cras volutpat odio ac sapien faucibus auctor

  • Cliniacians Orientated – Sed consequat odio quis dictum

  • Research Led – Nam ac pharetra nibh. Nullam eu magna sit

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Our approach

Modeling Platform.

We are building a modeling platform to identify and quantify the aging regulators. We then model the results of the most promising available therapies for pre-clinical testing.

Aging is an accelerated burden on economies and the single most important risk factor for disease and disability worldwide. By 2030, the number of people in the aged 60 years or over is projected to grow by 56% up to 1.4 billion, reaching nearly 2.1 billion by 2050. Globally, population aged 60 or over is growing faster than all younger age groups.

The growing number of scientists and pharmaceutical experts believe that the most promising strategy today is to solve the underlying cause of main diseases — aging. Though huge resources are involved in research dedicated to the development of therapies against each of the age-related diseases, the especially exciting & promising opportunity is to use the aging dynamics modeling to identify the putative regulators of aging.

Discovery

The recent explosion of web-connected wearable devices has generated massive amounts of high quality measurements. This creates an unprecedented opportunity for aging research.

Our modeling platform allowed us to perform a systematic evaluation of the relationship between the data from wearable devices and the mortality risk. To do that, we used large sets of data about the human physical and activity records provided by wearable monitors as well as health and lifespan information.

Our technology is available in beta, once is ready for licensing and can be used by life insurance & pension companies to:

  • Develop new generation of personalized underwriting models that will gather all required data from widely available consumer devices.
  • Complement the classical actuarial mortality and morbidity analysis by adding personalized risk factors based on health data.
  • Enhance customer experience and awareness by development of rewards program to cultivate healthy lifestyle choices, resulting in reduced healthcare expenses.

Latest Publications

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Read latest publications

“To raise new questions, new possibilities, to regard old problems from a new angle, requires creative imagination and marks real advance in science.”

CORY NELSON, CHIEF SCIENTIST

Trusted Partners

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Discover The Future

We are a multi-disciplinary laboratory committed to focussed and efficient drug discovery

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