AI, Genomics: Advancing Disease Detection and Control
Abstract
This collection highlights diverse advancements in pathogen detection and infectious disease outbreak management. It covers the transformative role of Artificial Intelligence and machine learning in prediction, alongside cutting-edge genomic epidemiology and metagenomics for high-resolution characterization. Further, it explores innovations in biosensor and Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-based technologies, point-of-care diagnostics, and environmental surveillance methods like wastewater monitoring. The articles collectively emphasize enhanced public health responses through rapid identification, accurate forecasting, and effective surveillance strategies.
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