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Osaka University has developed an innovative AI model that estimates biological age using just five drops of blood. This model analyzes hormone metabolism pathways, particularly focusing on steroid hormones like cortisol, to provide a more accurate health assessment than traditional methods. The research highlights the potential for personalized health interventions based on individual biological aging rates.
The AI model represents a significant advancement in understanding aging, linking stress levels to accelerated biological aging. By examining the interactions of 22 key steroids, the model offers insights that could lead to tailored wellness programs and early disease detection. This breakthrough could revolutionize preventive healthcare by allowing individuals to monitor their aging process more effectively.
• AI model estimates biological age from blood samples using hormone analysis.
• Cortisol levels linked to accelerated biological aging in the study.
Biological age refers to how well a person's body has aged, beyond chronological age.
A DNN is used to analyze complex steroid interactions for estimating biological age.
These pathways are crucial for understanding the biochemical processes that influence aging.
Osaka University is at the forefront of AI research, developing models to assess biological aging.
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