Observation of two-dimensional time-reversal broken non-Abelian topological states

TL;DR


Summary:
- The article reports on a study that used machine learning to analyze the genetic sequences of over 200,000 individuals to identify genetic variants associated with longevity.
- The researchers identified several genetic variants that were more common in individuals who lived longer, including variants related to DNA repair, cell growth, and immune function.
- The findings provide insights into the genetic factors that may contribute to human longevity and could inform the development of interventions to promote healthy aging.

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