New Delhi, March 17 (IANS). Scientists at the University of Osaka, Japan have developed a new AI model to estimate a person’s biological age. Instead of counting the years from birth till now, it measures how much his body’s age has increased.
By using only five drops of blood, this new method analyzes 22 major steroids and their interplays, so that more accurate health assessment can be provided.
The successful study of the team published in Science Advance, takes a possible step in personal health management, allowing age -related health risks to be first detected and analog intervention.
The study co-first writer Dr. Kiui Wang said, “Our body depends on hormones to maintain homeostasis, so we thought, why not use them as the main indicators of aging?”
To test this idea, the research team focused on steroid hormones, which play an important role in metabolism, immune work and stress reaction.
The team developed a deep neural network model that incorporates steroid metabolic routes, making it clearly the first AI model responsible for interaction between various steroid molecules.
One of the most special conclusions of the study is cortisol, which is usually a steroid hormone associated with stress. Researchers found that the biological age increases by about 1.5 times when the cortisol level is doubled.
This suggests that long -term stress can accelerate aging at the bio -chemical level, which reinforces the importance of stress management in maintaining long -term health.
“Stress is often discussed in general terms, but our findings give concrete evidence that it has a measured effect on biological aging,” said Professor Tosifumi Takao, expert and mass spectrometry expert and mass spectrometry specialist and correspondent.
Researchers believe that this AI-managed biological age model can pave the way for more personal health monitoring.
Future applications may include early disease detection, customized welfare program and even adapted lifestyle recommendations to slow old age.
-IANS
PSK/CBT
