Scientists at the University of Osaka in Japan have designed a new AI model to estimate the biological age of a person – since birth, instead of only counting years, there is a solution to how good their body is.
Using just five drops of blood, this new method analyzes 22 major steroids and their interactions to provide more accurate health evaluation.
The success of the team published in Science Advance provides a potential step further in personal health management, which allows the first age -related health risks and sewn interventions to detect.
“Our bodies rely on hormones to maintain homeostasis, so we thought, why not use them as main indicators of aging?” Dr. Kiui Wang, the first writer of the study said.
To test this idea, the research team focused on steroid hormones, which play an important role in metabolism, immune function and stress reaction.
The team developed a deep nerve network (DNN) model, which incorporates steroid metabolic routes, making it clearly an account for interaction between different steroid molecules.
One of the most striking findings of the study involves cortisol, a steroid hormone that is usually associated with stress. Researchers found that when cortisol levels doubled, the biological age increased by about 1.5 times.
This suggests that chronic stress can accelerate aging at a biochemical level, strengthens the importance of stress management in maintaining long -term health.
“Stress is often discussed in general terms, but our findings provide concrete evidence that it has an average impact when biological aging,” said Professor Toshifumi Takao, a related writer and an expert in analytical chemistry and mass spectrometry.
Researchers believe that this AI-powered biological age model can pave the way for more personal health monitoring.
Future applications may include early disease detection, customized welfare program and even lifestyle recommendations that slow down aging.
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