Can We Predict the Date of Death? Exploring Changes Brought by Artificial Intelligence.

Modern medicine is opening new horizons with advancements in technology and data. Recently, research results have been announced that use artificial intelligence to predict the age at which a person may die. The algorithm used in this study is called 'Histological Age' or 'HistoAge,' which innovatively estimates brain aging and its related diseases.

 

Development and Principles of HistoAge

In this study, an algorithm was developed by digitally analyzing sections of the hippocampus from brain donors. The hippocampus is a crucial region involved in both brain aging and neurodegenerative diseases associated with age. The HistoAge algorithm was trained using machine learning models based on these digitized images to estimate a person's age at the time of death. The model calculates the rate of accelerated aging in the brain by comparing the predicted age with the actual age.

 

Modern medicine is opening new horizons with advancements in technology and data.

 

Predictive Performance of HistoAge

According to the research results, HistoAge demonstrated a more powerful performance compared to traditional methods of measuring aging acceleration. Specifically, HistoAge showed a high correlation with abnormal levels of degenerative protein aggregation associated with cognitive impairment, cerebrovascular diseases, and Alzheimer's disease. This suggests that HistoAge has the potential to more accurately predict diseases related to brain aging.

 

Potential Applications of HistoAge

Information obtained through HistoAge is expected to aid in uncovering essential causal aspects of brain diseases. It holds significant promise for early diagnosis and prevention of conditions such as Alzheimer's disease. Additionally, HistoAge could assist in identifying genes that either prevent or exacerbate brain aging, contributing to understanding the genetic factors influencing individual brain aging. It may also be used to identify environmental risk factors that accelerate brain aging.

 

'HistoAge' presents an innovative technology in the field of medicine, predicting the age of death through brain aging. These research findings are anticipated to have a substantial impact on the future of preventing and diagnosing brain diseases. However, ethical considerations and discussions about the use of such technology are essential, requiring a careful approach to this field.