AI predicts human organ age
A recent study has shown that an artificial intelligence-based technology can determine the biological age of human organs through tissue images. Researchers analyzed over 25,000 images from 40 different types of tissues and discovered that organs age at varying rates, with some tissues exhibiting signs of aging more rapidly between the ages of twenty and forty. These predictive models achieved an accuracy with an error margin of about 4.9 years and were closely correlated with well-known aging indicators. This opens up new possibilities for monitoring organ health and early disease diagnosis using blood tests and imaging. It also reflects that aging does not occur uniformly across all tissues and organs.
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