Editorial: Interactions at the viral-host nexus in animals: from omics insights to immune modulation

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Editorial reviews multi-omics integration's role in understanding pathogens and improving disease diagnostics.

Multi-omics integration significantly improves disease understanding and pathogen characterization, enhancing diagnostic accuracy.
Recent techniques expose novel disease mechanisms through joint analysis of omics data, vital for biomarker discovery.
Innovations in machine learning promote data analysis across diverse omics layers, optimizing predictions for disease subtypes.
Future research should address integration challenges and leverage collaborative approaches to refine multi-omics strategies.

Qu et al. (2025) studied this question.

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View Full Paper

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Authors

Editorial reviews multi-omics integration's role in understanding pathogens and improving disease diagnostics.

Multi-omics integration significantly improves disease understanding and pathogen characterization, enhancing diagnostic accuracy.
Recent techniques expose novel disease mechanisms through joint analysis of omics data, vital for biomarker discovery.
Innovations in machine learning promote data analysis across diverse omics layers, optimizing predictions for disease subtypes.
Future research should address integration challenges and leverage collaborative approaches to refine multi-omics strategies.

Qu et al. (2025) studied this question.

View Full Paper

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