Recent advancements in artificial intelligence-powered cancer prediction from oral microbiome.

ABSTRACT: Oral cancer is a major global health burden, ranking sixth in prevalence, with oral squamous cell carcinoma (OSCC) being the most common type. Importantly, OSCC is often diagnosed at late stages, underscoring the need for innovative methods for early detection. The oral microbiome, an active microbial community within the oral cavity, holds promise as a biomarker for the prediction and progression of cancer. Emerging computational techniques in the artificial intelligence (AI) field have enabled the analysis of complex microbiome data sets to unravel the association between oral microbiome composition and oral cancer. This review provides a comprehensive overview of learning-based algorithms applied to oral microbiome data for cancer prediction. In particular, this work discusses how typic

SUBMITTER: Soghli N 

PROVIDER: S-EPMC12842876 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature