Explainable AI multiomics analysis reveals shared and divergent host responses in COVID-19 and influenza

Key Points

• Shared and divergent host responses were identified through the explainable AI model—indicating nuanced differences between COVID-19 and influenza.
• The analysis highlights how multiomics data captures the complexity of host-microbe interactions relevant to both viruses.
• Employing explainable AI techniques allows for clearer interpretations of data, thus informing potential therapeutic strategies.
• Emerging insights underscore the importance of personalized approaches in treating viral infections, given these distinguished responses.