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AI-Driven Approaches for the Detection, Classification, and Surveillance of Viral Pathogens: Current Advances, Challenges, and Future Directions

2026-07-15

Abstract excerpt

Artificial intelligence (AI) has rapidly emerged as a transformative tool in virology, offering new opportunities for the detection, classification, and surveillance of viral pathogens. Recent advances in machine learning, deep neural networks, and multimodal data analysis now enable the identification of viral signatures from genomic sequences, medical images, environmental samples, and social-media-derived epide...

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Literature Corpus work
36488e30-23b8-5d7c-b7c7-5ade8e54046d
DOI
10.20944/preprints202607.1157.v1
Open publication

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AI-Driven Approaches for the Detection, Classification, and Surveillance of Viral Pathogens: Current Advances, Challenges, and Future DirectionsDOI 10.20944/preprints202607.1157.v1
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