The new AI model incorporates steroid metabolism pathways, analyzing 22 key hormones and their interactions to provide a more precise assessment of biological age. Published in the journal Science Advances, this approach could potentially help to improve personalized health management by detecting age-related risks early and guiding tailored interventions.
The model utilizes a deep neural network to assess steroid ratios rather than absolute hormone levels. A key finding was the strong link between cortisol – a stress-related hormone – and accelerated aging, thus reinforcing the impact of chronic stress on long-term health. The study highlights the potential of steroid hormones as reliable biomarkers for aging.
While their findings are certainly promising, the researchers acknowledge that aging is influenced by multiple other factors in addition to hormones. Future improvements to the AI model could therefore include additional biomarkers – such as cellular nutrient levels – for even greater accuracy. Meantime, it is already clear that with continued AI advancements, the ability to measure biological aging is becoming more realistic. In the not-so-distant future, a simple blood test could revolutionize preventive healthcare by offering personalized aging insights and nutritional supplement recommendations.
To check out Dr. Rath’s Cellular Health recommendations for slowing down your rate of biological aging, see this page on our website.
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News
Scientists at Osaka University in Japan have developed a new system to estimate a person’s biological age, a measure of how well their body has aged, rather than just counting the years since birth.
[Source: medicalxpress.com]
[Image source: Adobe Stock]
Comment
The new AI model incorporates steroid metabolism pathways, analyzing 22 key hormones and their interactions to provide a more precise assessment of biological age. Published in the journal Science Advances, this approach could potentially help to improve personalized health management by detecting age-related risks early and guiding tailored interventions.
The model utilizes a deep neural network to assess steroid ratios rather than absolute hormone levels. A key finding was the strong link between cortisol – a stress-related hormone – and accelerated aging, thus reinforcing the impact of chronic stress on long-term health. The study highlights the potential of steroid hormones as reliable biomarkers for aging.
While their findings are certainly promising, the researchers acknowledge that aging is influenced by multiple other factors in addition to hormones. Future improvements to the AI model could therefore include additional biomarkers – such as cellular nutrient levels – for even greater accuracy. Meantime, it is already clear that with continued AI advancements, the ability to measure biological aging is becoming more realistic. In the not-so-distant future, a simple blood test could revolutionize preventive healthcare by offering personalized aging insights and nutritional supplement recommendations.
To check out Dr. Rath’s Cellular Health recommendations for slowing down your rate of biological aging, see this page on our website.
Dr. Rath Health Foundation
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