Scientists publish a blueprint to apply artificial intelligence to extend human longevity

January 27, 2021

27th of January, Wednesday, Hong Kong - Deep Longevity, a fully-owned subsidiary of Regent Pacific (HKEX: 0575), specializing in the development and the application of next-generation artificial intelligence (AI) for aging and longevity research, today announced the publication of an article in titled "Artificial Intelligence in Longevity Medicine"..

In the article the authors describe a new field of study converging AI, basic research, and medicine referred to as Longevity Medicine. Another definition for Longevity Medicine is the preventative and restorative medicine enabled by the deep aging clocks and artificial intelligence.

The article was authored by
Kai-Fu Lee.

The traditional approach to medicine is to treat diseases. However, scientists estimate (
These numbers are so small because there are many age-associated processes and diseases that manifest in unison in late life,¿ so the elimination of just one individual cause does not lead to the intuitively assumed gains in life expectancy. The main driver of most of these diseases and processes is aging.

Aging is a universal feature shared by all living beings. Modern artificial intelligence systems achieved superhuman accuracy in predicting the various features and learning complex patterns using many data types. When trained to predict age using large longitudinal data sets, deep neural networks (DNNs) often learn the basic biological and physiological processes that transpire slowly in time, are highly interdependent, and result in pathologies.

In the article the authors describe the basic framework for the application of deep learning to longevity research and the opportunities for longevity medicine in clinical care and the longevity industry.

"Artificial intelligence holds great potential for medicine in general; however, the ability to track and learn the minute changes that transpire in human body every second over the patient's lifetime and in large number of patients enables the development of a new field of medicine - longevity medicine", said
-end-
The article is available as open access at Nature Aging.

To cite the article: Zhavoronkov, A., Bischof, E. & Lee, KF. Artificial intelligence in longevity medicine. Nat Aging 1, 5-7 (2021).
https://doi.org/10.1038/s43587-020-00020-4

About Deep Longevity

Deep Longevity has been acquired by Regent Pacific (HK:0575), a publicly-traded company. Deep Longevity is developing explainable artificial intelligence systems to track the rate of aging at the molecular, cellular, tissue, organ, system, physiological, and psychological levels. It is also developing systems for the emerging field of longevity medicine enabling physicians to make better decisions on the interventions that may slow down, or reverse the aging processes. Deep Longevity developed Longevity as a Service (LaaS)© solution to integrate multiple deep biomarkers of aging dubbed "deep aging clocks" to provide a universal multifactorial measure of human biological age. Originally incubated by Insilico Medicine, Deep Longevity started its independent journey in 2020 after securing a round of funding from the most credible venture capitalists specializing in biotechnology, longevity, and artificial intelligence. ETP Ventures, Human Longevity and Performance Impact Venture Fund, BOLD Capital Partners, Longevity Vision Fund, LongeVC, co-founder of Oculus, Michael Antonov, and other expert AI and biotechnology investors supported the company. Deep Longevity established a research partnership with one of the most prominent longevity organizations, Human Longevity, Inc. to provide a range of aging clocks to the network of advanced physicians and researchers. https://longevity.ai/

About Regent Pacific (HK: 0575)

Regent Pacific is a diversified investment group based in Hong Kong currently holding various corporate and strategic investments focusing on the healthcare, wellness and life sciences sectors. The Group has a strong track record of investments and has returned approximately US$298 million to shareholders in the 21 years of financial reporting since its initial public offering.

Deep Longevity Ltd

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