Aging Prediction

Aging Prediction refers to the process of estimating the remaining lifespan or biological age of an individual based on various physiological, genetic, and environmental factors. It involves analyzing biomarkers, health data, and lifestyle information to project how aging will progress in an individual or population. Aging prediction can be used in fields such as medicine, gerontology, and biotechnology to identify risks for age-related diseases, optimize healthcare interventions, and improve the quality of life in aging populations. The goal is to use predictive models and data analysis to better understand the aging process and to support healthier aging outcomes.

Aging Prediction·Artificial Intelligence (AI)·News-EN

Over Prediction: Are We Predicting Too Much? Technology’s New Dilemma

In our increasingly data-driven world, the concept of “over prediction” is emerging as a significant concern. This issue arises from our growing reliance on predictive algorithms designed to anticipate everything from the weather to consumer behavior. While these technologies are revolutionizing sectors

December 20, 2024