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New Algorithm Offers Improved Method for Assessing Lifespan
Researchers have developed a novel algorithm utilizing biomarkers to assess an individual’s or animal’s lifespan, according to a recent Science Alert report. The tool, which does not attempt to predict exact death times, has proven successful in estimating the rate of biological aging. The algorithm, based on biomarker analysis, promises to be a valuable tool for studying aging rates across diverse species, including humans, and understanding the factors that accelerate or decelerate the aging process.
Currently utilized “epigenetic clocks” measure chemical changes within DNA, but these methods can be unreliable. This new approach, termed transkriptomski, analyzes RNA molecules that carry genetic instructions for protein creation. This allows scientists to identify which genes are most influenced by age-related changes.
The algorithm demonstrates how RNA molecules reflect genetic alterations that occur over time. While previous methods offered uncertain results, this newer algorithm provides a more precise understanding of the genetic processes involved in aging. Further research will focus on refining the algorithm and exploring its application across a wider range of species.
Topics: #predict #how #long
