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What Is Aging?

NEW TO AGING RESEARCH? START HERE

If you are completely new to aging research, we recommend that you ease your way into this complex field by starting with the basics. To do that, the X10 team has created this handy introductory video that explains the major processes (hallmarks) that many researchers believe are the causes of aging.

Aging is a series of processes that include direct damage, accumulation of cellular waste, errors, and imperfect repairs as well as the responses to them. These processes result in the familiar signs of aging and ultimately to the development of age-related diseases that eventually kill us.

There are multiple aging theories, but one of the most popular and well supported is the Hallmarks of Aging, a 2013 paper that defined aging as nine distinct categories (hallmarks) and explained how these processes interact with each other. Understanding these processes gives us insights into how we might directly intervene against the aging hallmarks to prevent age-related diseases.

 

Researchers are working on solutions to each of these hallmarks right now, and you can see how progress is going by checking out the Rejuvenation Roadmap. Also, if you wish to learn more about each of the hallmarks, you can find more information by clicking on one of the hallmarks on the slider below.

IS AGING TOO COMPLEX TO UNDERSTAND?

A common misconception is that aging is too complex for us to understand, but, during the last decade or so, researchers have made great inroads into improving our understanding of aging and the processes that drive it. While it is absolutely correct that science has yet to fully understand these processes and their mechanisms, current research has led us to a fundamental understanding of aging.

A major factor that is helping researchers to understand the aging processes and the potential solutions to them are advances in computer technology, particularly deep learning. Deep learning is ideally suited to aging research, especially for tasks that require a high volume of data to be processed accurately; computers, unlike people, do not suffer bias and can consistently work to a high degree of accuracy at a far faster speed than we can.

We have sufficient knowledge to begin developing therapies and treatments that target the aging processes in order to prevent age-related diseases, and this is the focus of researchers working on rejuvenation biotechnology, which aims to target the underlying aging processes in order to prevent the ill health of old age and promote healthier and longer lives.