Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review

As a major worldwide health concern, influenza still requires precise modeling of flu dynamics and efficient treatment approaches. Deep learning architectures are increasingly being applied to address the complexities of influenza dynamics and treatment optimization, which remain critical global hea...

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Bibliographic Details
Main Authors: Adane Adugna, Desalegn Abebaw, Abtie Abebaw, Mohammed Jemal
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1521886/full
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