Jan 11, 2024
Paradigm shift: Evolution is not as random as we thought
Posted by Joseph Barney in categories: bioengineering, biotech/medical, robotics/AI
Big discovery on the patterns of evolution and how it’ll change medicine and even potentially climate change and synthetic biology.
The experts meticulously analyzed the pangenome — a complete set of genes within a species. By deploying a machine learning technique known as Random Forest, and processing data from 2,500 complete genomes of a single bacterial species, the team embarked on a journey to unravel the mysteries of evolutionary predictability.
“The implications of this research are nothing short of revolutionary,” said Professor McInerney, the lead author of the study.
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