2023-07-14 06:22:22
Title: New Algorithm Uses Retina to Predict Mortality Risk
Subtitle: Researchers discover potential biomarker for aging and mortality
Date: [Today’s date]
In our quest to answer the age-old question of “When do I die?”, scientists may have found a clue hidden within our eyes. A team of researchers has developed an algorithm that analyzes retinal images to determine how quickly people age and predict their risk of death.
Traditionally, statistics have been used to assess various factors that contribute to mortality, including lifestyle choices and genetics. However, this new algorithm takes a more scientific approach by examining the retina, which can serve as a “window” into neurological diseases and overall health.
The study, published in the British Journal of Ophthalmology, involved nearly 47,000 middle-aged and older adults whose retinas were scanned. The algorithm successfully determined their age with an impressive accuracy of 3.5 years. Furthermore, it was found that those with retinas classified as older than their chronological age were more likely to have died a decade after the initial scan.
“Our results suggest that retinal age difference could be a potential biomarker of aging that is closely related to the risk of death,” said Zhuoting Zhu from the Center for Eye Research Australia, the lead author of the study. The researchers believe that retinal imaging could serve as a screening tool for risk stratification and personalized interventions.
The strong correlation between retinal age difference and non-cardiovascular and non-cancer mortality further supports the significance of the retina as an indicator of overall health and aging. Additionally, the researchers note the growing evidence of a connection between the eye and the brain, strengthening the hypothesis that the retina plays a crucial role in the aging process.
Interestingly, retinal health has also been linked to cardiovascular health. Previous studies have shown that retinal scans can help predict cardiovascular risk factors. This finding suggests that algorithms like the one developed in this study could provide not only insights into mortality risk but also potential opportunities for early intervention.
While this research holds promising implications for the future, further studies are needed to validate and refine these findings. However, in the meantime, individuals can take proactive steps to increase their life expectancy with simple everyday tips.
As humans, the question of our mortality will always loom in the back of our minds. With advancements in scientific research, we are inching closer to finding answers. Perhaps one day, algorithms like these will not only reveal when we may die but also empower us to make informed decisions about our health and well-being.
Source: “Retinal age gap as a predictive biomarker for mortality risk” (2022; British Journal of Ophthalmology)
Note: This article contains unrelated information about the ongoing conflict in Ukraine.]
#die #eyes #give