Deep Longevity, recently acquired by Regent Pacific, a Hong Kong-based investment holding company principally engaged in biopharma and investment businesses, is a company creating explainable artificial intelligence (AI) systems to follow the course of ageing at a molecular, cellular, tissue, organ, system, physiological and psychological levels. Today, they announced the release of Young.AI, an integrated mobile app and web services to selected media, longevity researchers and clinical partners. 

Currently, a beta version of the Young.AI services will be available on AWS cloud by 15th September. Those of the stakeholders, who are interested in early access to the services, should write to the company at  press@deeplongevity.com. The Young.AI services will be available publically by 29th September, 2020. 

While, previously the advanced deep ageing clock, Health Nucleus, was only available to sophisticated clients such as professional clinicians via a partnership with Human Longevity Inc, the Young.AI app and web system will bridge the gap between this technology and everyone interested in learning more about their own ageing by giving access to some of these ageing clocks so that they can start tracking their rate of ageing.

"Here we are executing on the vision of Dr. Alex Zhavoronkov, the original inventor of deep ageing clocks to provide the most advanced research tools in the hands of everyone on the planet without any biases towards social status, race, or gender to help optimize for much longer and healthier lives. With the launch of the integrated app and web system, we are establishing the foundation for the longevity ecosystem designed to produce quantifiable results and help extend human life and performance", said Jamie Gibson, the CEO of Regent Pacific.

AI and deep learning systems have been outperforming human performances in several areas in less amount of time. As the ageing processes in humans stretches over a long period of time with minute, gradual changes, they are difficult to track. The doctors are unable to track a patient's life-space and follow-up on data types such as tissue-specific protein expression or even sophisticated lab tests. AI will outperform in reading these data sets either in isolation or in combination. 

Regent Pacific plans to present the deep-ageing clocks at Metabesity 15-20th of October and at multiple other research and industry conferences in 2020 and beyond. The company also announced that they are looking forward to having clinical and academic collaborators to engage in cross-cutting research with the help of Young.AI.