Osaka researchers create AI predicting biological age from blood

Scientists at Osaka University have developed an AI model that estimates biological age using just five drops of blood. This method analyzes 22 key steroids and their interactions, offering a more accurate health assessment than simply counting years. The study, published in Science Advances, highlights the role of steroid hormones in metabolism and stress response. Notably, researchers found that doubling cortisol levels can increase biological age by about 1.5 times, indicating a link between chronic stress and accelerated aging. This AI model could enhance personalized health management, enabling early disease detection and tailored wellness programs. It represents a significant advancement in understanding how biological age can be measured and monitored.