Artificial Intelligence as a Catalyst for Advancements in Medical Virology

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Authors: Mohamed M. Ibrahim
Cited by: 0

Abstract

Artificial intelligence (AI), including machine learning (ML) and deep learning (DL), has become a crucial element in medical virology, transforming the research and treatment of viral illnesses. AI is transforming viral research and clinical practice by improving genomic analysis, diagnostic accuracy, treatment innovation, and epidemiological modeling. AI's contributions are significant and extensive, encompassing the analysis of intricate viral genomes, the expedited development of antiviral treatments, and the forecasting of disease evolution. Notwithstanding obstacles like data privacy, algorithmic bias, and ethical dilemmas, the amalgamation of AI with advanced technologies, including quantum computing and protein language models, is poised to herald a new epoch of virological advancement. This letter emphasizes the necessity for interdisciplinary collaboration to use AI's transformational capabilities while maintaining stringent ethical monitoring in combating viral infections.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence Applications vaccines and immunoinformatics approaches

Publication details

Journal / source
Clinical Laboratory
Volume
72
Issue
01/2026
Publication date
1 January 2026
Language
EN