Aging is the most important single factor behind chronic diseases and death. As «silver tsunami» approaches, healthcare, and social protection systems face the looming crisis. By 2050, the global population of older persons is projected to more than double its size in 2015. The new article published in Frontiers in Genetics by MIPT scientist Dr. P. Fedichev describes a strategy for the systematic development of novel anti-aging therapeutics and biomarkers of aging using the data from medical studies and large biobanks. The mortality rate in humans increases exponentially with age and doubles approximately every eight years.
There are several scientists that are now convinced upon the idea that while aging is a natural occurrence that happens in all creatures, it is, in fact, a disease that can be treated or cured. In that regards, there are some scientists out there looking to slow down the process of aging, while others are looking to stop it all together. Some of these ideas have been spurred on by the development of certain technologies, such as combining stem cells with genetic and cellular manipulation. Researchers have also been looking into the rejuvenating effects of proteins that are found in human blood, while others suggest using bacteria to ward off old age. Alex Zhavoronkov is director of both the International Aging Research Portfolio (IARP) and the Biogerontology Research Foundation and the CEO of bioinformatics company, Insilico Medicine and he has a different idea altogether.
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.
Summary: Combining multiple artificial intelligence agents sheds light on the aging process and can help further understanding of what contributes to healthy aging. There are two kinds of age: chronological age, which is the number of years one has lived, and biological age, which is influenced by our genes, lifestyle, behavior, the environment, and other factors. Biological age is the superior measure of true age and is the most biologically relevant feature, as it closely correlates with mortality and health status. The search for reliable predictors of biological age has been ongoing for several decades, and until recently, largely without success. Since 2016 the use of deep learning techniques to find predictors of chronological and biological age has been gaining popularity in the aging research community.
More and more scientists are convinced that aging, while a natural phenomenon experienced by all living creatures, is a disease that can be treated or even cured. Scientists, generally, have taken different approaches to aging in that regard. Some want to slow down the process, while others seek to put a stop to it altogether. Those in the latter group see no limit in our potential to extend human life. These efforts are fueled by the latest technologies science has to offer.