AI-driven surveillance system to combat emerging infectious diseases

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Researchers have developed a new method to identify more infectious variants of viruses or bacteria in humans, including those causing flu, COVID, whooping cough, and tuberculosis. The approach uses samples from infected individuals for real-time monitoring of pathogens circulating in human populations. This helps in identifying vaccine-evading bugs quickly, informs the development of more effective vaccines, and enables the detection of emerging variants with antibiotic resistance. The method utilizes genetic sequencing data to track genetic changes and spread of new variants automatically, removing the need for expert intervention. This approach is valuable for resource-poor settings and could revolutionize infectious disease surveillance worldwide.

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