Researchers have made a groundbreaking discovery that could revolutionize the way we monitor and diagnose diseases. By developing AI-based 'tissue clocks', they can now estimate the biological age of human organs from histological images, shedding light on the fact that organs age at different speeds throughout life.
Key Insights
The study reveals that some tissues show signs of accelerated aging between 20 and 40 years old, and the AI-based 'tissue clocks' can estimate biological age with a mean prediction error of 4.9 years. Furthermore, blood-based predictors can identify aging patterns linked to several diseases, including Alzheimer's disease and diabetes, paving the way for potential early diagnosis and treatment.








