This ebook is available only for subscribers. In this exclusive subscriber-only eBook, you'll learn about a new method that scientists have uncovered to look at the ways our bodies are aging. We're learning more about what vitamin D does to our bodies Jessica Hamzelou OpenAI's new LLM exposes the secrets of how AI really works Will Douglas Heaven We're learning more about what vitamin D does to our bodies The sunshine vitamin could affect your immune system and heart health. The idea that machines will be as smart as--or smarter than--humans has hijacked an entire industry. But look closely and you'll see it's a myth that persists for many of the same reasons conspiracies do. The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways--and how trustworthy they really are.

The physiologic and molecular changes associated with becoming older raise a person's odds of being sick and dying. Researchers can find ways to lessen the prevalence and severity of diseases by measuring and estimating the biological markers of aging. To distinguish between a person's biological age and their chronological age, scientists have devised "aging clocks" that use biomarkers like blood proteins or DNA methylation to estimate a person's biological age. These aging clocks can estimate the risk of developing an age-related illness. However, due to the need for a blood sample, other methods of locating equivalent measurements may make aging data more accessible.

Aging is a process that is characterized by physiological and molecular changes that increase an individual's risk of developing diseases and eventually dying. Being able to measure and estimate the biological signatures of aging can help researchers identify preventive measures to reduce disease risk and impact. Researchers have developed "aging clocks" based on markers such as blood proteins or DNA methylation to measure individuals' biological age, which is distinct from one's chronological age. These aging clocks help predict the risk of age-related diseases. But because protein and methylation markers require a blood draw, non-invasive ways to find similar measures could make aging information more accessible.

If you ask a lay person on the street what life insurance is, and they'll tell you it is a policy you buy that pays a sum of money to your family when you die. Ask them to explain how life insurance works, and they will probably tell you it is a contract between an insuring company and a policy owner. Now ask them how artificial intelligence (AI) and aging research can help life insurance firms and policy buyers make decisions with conviction, and they'll scratch their heads and likely walk away from this conversation, or give very general answers. And while the customers are pretty much in the dark, some of the more innovative insurance companies are building substantial internal and external capabilities in both aging research and artificial intelligence. And there are hundreds of startups with more or less credible technologies that the life insurance companies are partnering with directly or through the open innovation hubs.

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.

IMAGE: Using age predictors within specified age groups to infer causality and identify therapeutic interventions. The deep age predictors can help advance aging research by establishing causal relationships in nonlinear systems. Deep aging clocks can be used for identification of novel therapeutic targets, evaluating the efficacy of various interventions, data quality control, data economics, prediction of health trajectories, mortality, and many other applications. Dr. Alex Zhavoronkov from Insilico Medicine, Hong Kong Science and Technology Park, in Hong Kong, China & The Buck Institute for Research on Aging in Novato, California, USA as well as The Biogerontology Research Foundation in London, UK said "The recent hype cycle in artificial intelligence (AI) resulted in substantial investment in machine learning and increase in available talent in almost every industry and country." Over many generations humans have evolved to develop from a single-cell embryo within a female organism, come out, grow with the help of other humans, reach reproductive age, reproduce, take care of the young, and gradually decline.

Recently, Google's CEO, Sundar Pichai, likened the impact of artificial intelligence to the discovery of fire. In the same way our distant ancestors' world was transformed by an invention that literally turned night into day, the foundations of how our society operates is about to undergo a similar shift. But will artificial intelligence really live up to the hype? That all depends on you and what you decide to do with it. Fire was meaningless until creative cavemen figured out exactly what to do with it.