Stanford researchers have developed a tool to compute the biological age of human organs using a single blood sample. This innovation can shift health care paradigms from reactive to proactive, enabling individuals to monitor their health. The tool analyzes thousands of proteins in blood to determine organ age through artificial intelligence. Tests on data from 45,000 UK Biobank participants showed that older organs had a higher likelihood of age-related diseases. The brain's biological age was particularly crucial in predicting lifespan, with younger brains associated with longer life expectancy.
Researchers have developed a new tool that computes the biological age of human organs from a single vial of blood. This tool can significantly change healthcare approaches by empowering individuals to manage their health based on biological age.
The tool assesses thousands of proteins in blood, comparing levels to average age metrics, allowing an AI algorithm to determine the biological age of each organ.
Analysis of data from 45,000 participants revealed biologically older organs were more likely to develop aging-related diseases. Younger organs corresponded to lower disease risks.
The brain's biological age was found to be a strong predictor of lifespan; individuals with biologically younger brains lived significantly longer than those with older brains.
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