Researchers have created a numerical model of psychology that aims to improve mental health. The system provides superior customization and outlines the shortest path toward a set of mental stability for any individual. Deep Longevity published a paper in Aging-US outlining a machine learning approach to human psychology in collaboration with Nancy Etcoff, Ph.D., Harvard Medical School, Authority on happiness and beauty. The authors created two numerical models of human psychology based on data from a US midlife study. The first model is a set of deep neural networks which predict respondents' chronological age and psychological well-being over 10 years using information from psychological surveys.

The researchers created a digital model of psychology aimed to improve mental health. The system offers superior personalization and identifies the shortest path toward a cluster of mental stability for any individual. Deep Longevity has published a paper in Aging-US outlining a machine learning approach to human psychology in collaboration with Nancy Etcoff, Ph.D., Harvard Medical School, an authority on happiness and beauty. The authors created two digital models of human psychology based on data from the Midlife in the United States study. The first model is an ensemble of deep neural networks that predicts respondents' chronological age and psychological well-being in 10 years using information from a psychological survey.

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 Alex Zhavoronkov, the founder and chief longevity officer of Deep Longevity, a computer scientist with a PhD in biophysics, Evelyne Yehudit Bischof, a practicing medical doctor trained in the top European and the US medical schools actively engaged in aging research and gerooncology at the University Hospital Basel in Switzerland, and at Shanghai University of Medicine and Health Sciences, and one of the most prolific scientists and entrepreneurs in artificial intelligence, Kai-Fu Lee. The traditional approach to medicine is to treat diseases. However, scientists estimate (Cutler and Mattson, 2006) that complete elimination of cancer would result in only 2.3 year increase in life expectancy in the US at birth and 1.3 year gain at age 65.

Deep Longevity, which specialises in the development and the application of next-generation AI for aging and longevity research, has announced the publication of an article in Nature Aging titled Artificial Intelligence in Longevity Medicine, written by Alex Zhavoronkov, Evelyne Yehudit Bischof and Kai-Fu Lee. Longevity.Technology: Longevity and AI are deeply enmeshed; from accelerating innovation and technology transfer, to developing personalised health therapies, the presence of AI is a key factor in extending lifespan and healthspan and ensuring maximum wellness. Next-generation AI could not only improve longevity investigative strategies and research, but push them in entirely new directions – vive la révolution! Hong Kong-based Deep Longevity was spun out of Insilico Medicine and quickly acquired by Regent Pacific. It develops explainable AI systems to track the rate of aging at the molecular, cellular, tissue, organ, system, physiological and psychological levels, as well as developing systems for the emerging field of longevity medicine. Creators of deep aging clocks that leverage data from multiple biomarkers, Deep Longevity, through a research partnership with Human Longevity, Inc, provides various aging clocks to physicians and researchers.

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 Alex Zhavoronkov, the founder and chief longevity officer of Deep Longevity, a computer scientist with a PhD in biophysics, Evelyne Yehudit Bischof, a practicing medical doctor trained in the top European and the US medical schools actively engaged in aging research and gerooncology at the University Hospital Basel in Switzerland, and at Shanghai University of Medicine and Health Sciences, and one of the most prolific scientists and entrepreneurs in artificial intelligence, Kai-Fu Lee. The traditional approach to medicine is to treat diseases. However, scientists estimate (Cutler and Mattson, 2006) that complete elimination of cancer would result in only 2.3 year increase in life expectancy in the US at birth and 1.3 year gain at age 65.