Exploring Healthcare and Public Health Implications via Temporal Analysis of Human–Virus Interactions Leveraging Adversarial Networks and Saliency Maps
Viruses are prone to rapid mutations that enhance traits like transmissibility and resistance to treatments. The adaptability complicates the development of effective vaccines. The study investigates the dynamic interactions between humans and COVID-19 virus through time-series analysis, focusing on...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2476237 |
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