It is now possible to measure a person’s biological age, which refers to the wear and tear of the body’s cells, as opposed to the chronological age based on the number of years lived. Chinese scientists have developed a new method to predict biological age using artificial intelligence to analyze 3D images of the face, tongue, and retina.
This approach provides a way to estimate biological age more accurately than previous methods that primarily relied on DNA or blood tests and brain scans. By combining images of the face, tongue, and retina, scientists have created a model that can accurately predict biological age. This allows for easier, more accessible, and less invasive methods to estimate a person’s biological age compared to traditional tests.
Research from China’s Macau University of Science and Technology and Shanghai Jiao Tong University involved testing this model on healthy individuals and those with chronic diseases. The results showed that the biological age of individuals with chronic diseases was significantly higher than their chronological age compared to healthy individuals, indicating the potential impact of chronic diseases on aging.
Furthermore, this new method could also be used to assess the effectiveness of anti-aging treatments, such as diet, exercise, and longevity drugs. Dr. Andrew Steele, a longevity expert, highlighted the potential for using photos to evaluate the efficacy of anti-aging strategies and speed up clinical trials in the future.
About our experts
Dr. Andrew Steele is a scientist, author, and presenter, known for his work in the field of aging. He is the author of Ageless: The new science of growing older without getting older. After earning his doctorate in physics, Steele transitioned into biology, using computers to decipher human DNA at the Francis Crick Institute in London.
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Source: www.sciencefocus.com
