Stanford University researchers created a tool to compute the biological age of human organs using a single vial of blood. It operates by comparing protein levels in the blood to average levels at specific ages and employs AI algorithms to derive biological age. The tool was validated using data from 45,000 UK Biobank participants, revealing that biologically older organs have a higher likelihood of age-related diseases. Notably, the brain's biological age is a strong predictor of lifespan, with younger brains associated with longer life.
The tool processes a single draw of blood, comparing proteins' levels with their average for a given age, using AI to determine each organ's biological age.
Biologically older organs are significantly more likely to develop aging-related diseases; older hearts correlate with higher risks of atrial fibrillation or heart failure.
The biological age of the brain is crucial for predicting lifespan; people with younger brains tend to live longer, and older brains are linked to shorter lifespans.
The research team analyzed data from 45,000 people in the UK Biobank over 17 years, demonstrating strong correlations between biological age and health outcomes.
Collection
[
|
...
]