A new algorithm -based organic aging clock developed in Singapore has shown that the potential to better predict mortality and health results by using only clinical data.
Researchers from the Yong Lo Lin Lin School of Medicine (NUS Medicine) from the National University of Singapore have recently introduced an updated version of their existing biological aging models to assess the aging of a person more accurately.
What it is about
The updated model, called Linage2, was trained in the US National Health and Nutrition Examination Survey, a large public dataset with routine health information of thousands of people. It contains data on the results of physical examination, blood test values and mortality records.
It uses a mathematical technique called main component analysis to extract important health patterns and to estimate the biological age of a person. In contrast to a chronological age, which is a fixed size for how many years an individual has lived, biological age refers to the health and function of the cells and tissues of their bodies.
Linage2 builds on its earlier version, linage, as well as PCAG, both of which are based on blood and urine tests and have already demonstrated strong possibilities to predict mortality in the long term and functional decrease in health. The updated model used common feedback from clinical applications of these models and removed complex laboratory tests and was adapted for gender differences.
Moreover, it is now supplied with a visual tool to help users easily identify specific health factors that are responsible for accelerated aging.
Findings
The NUS Medicine research team tested linage2 to predict both mortality and functional health, including walking speed, cognitive performance and independence in daily activities.
Their studies, that findings have been published in NPJ aging, discovered that the updated model predicted the better predicted mortality risk for 10 and 20 years better than existing on DNA-based epigenetic clocks, including Fenoage, Dunedinpoam, HorvaGage, Hannumage and Grimage.
Researchers could discover a connection between functional health and biological age. This was based on the finding that people with a lower biological age walked on linage2 faster, had better cognitive scores and were able to perform daily tasks more independently.
Another important finding was that the model identified specific health problems (smoking and metabolic syndrome) as risk factors that speed up aging.
Why it matters
A more accurate measure of biological aging can help in informing personalized strategies for the treatment of diseases or expanding the health span of a person, or the years they live healthy.
“Our long-term vision is to enclose aids such as linage2 in daily medical practice, which doctors can use during check-ups, to adjust treatment plans based on the true biological disorder of a person and not only their age in years. By identifying who can be activated faster in the life of life or before the life. medical adviser at NG Teng Fong General Hospital and The employee of the study of the study.
Nus Medicine said that the research team now works together with Singaporean Health Tech Company, Novi Health, to include their clinical aging clock as part of the Longevity program for Healthcare.
In the meantime, they are also planning to validate their model about more diverse populations and to explore them in monitoring reactions on health span interventions, such as lifestyle adjustments, food adjustments and medicines.
Market Snapshot
Another innovation when measuring the biological era of a person is calculating with retinal images. Researchers from the Singapore EYE Research Institute collaborated with the South Korean startup MediWhale to develop their deeply learning tool called Retiage, which has also shown that it is potential to predict the 10-year disease and death risk of an individual.
In the meantime, the deep lifespan established in Hong Kong is an established name in outdated research. It has also not only developed a biological aging clock, but also one AI-driven test that estimates the psychological age. The company had also used its biological aging model to estimate the survival of COVID-19 patients admitted to the hospital.
On the edge
“It is our hope that Validation of Linage2 in various cohorts and population groups will bring us closer to a future of preventive, personalized and proactive medicine – where we approach aging ourselves, not only the diseases it causes,” said Jan Gruber, a university teacher of the health wage of the health wage.
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