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Is it possible to predict a pathogen's next move? Novel tool for detecting pathogen fitness says yes!

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          🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
Phylowave reveals evolutionary dynamics in pathogens, identifying fitness-linked lineages and mutations, essential for effective public health interventions.
The article discusses a groundbreaking tool developed by researchers at the University of Warwick, which aims to predict how pathogens might evolve to become more virulent or transmissible. This tool, known as the "Pathogen Fitness Predictor," uses machine learning to analyze genetic data from pathogens, assessing their potential to adapt and increase in fitness. By understanding these evolutionary patterns, scientists hope to preemptively develop strategies for controlling outbreaks, designing more effective vaccines, and preparing public health responses. The tool's development comes at a critical time when the world is increasingly facing threats from emerging infectious diseases, highlighting the importance of predictive analytics in global health security.

Read the Full MSN Article at:
[ https://www.msn.com/en-gb/health/diseases-and-conditions/is-it-possible-to-predict-a-pathogen-s-next-move-novel-tool-for-detecting-pathogen-fitness-says-yes/ar-BB1rn10S ]