Ensemble learning for microbiome-based caries diagnosis: multi-group modeling and biological interpretation from salivary and plaque metagenomic data.

Journal: BMC oral health
Published Date: Jul 17, 2025

Abstract

BACKGROUND: Oral microbiota is a major etiological factor in the development of dental caries. Next-generation sequencing techniques have been widely used, generating vast amounts of data which is underexplored. The advancement of artificial intelligence (AI) technologies has made it possible to mine information from these large datasets. This study aimed to develop AI-driven diagnostic models and identify key microbial features for caries.

Authors

  • Fangqiao Wei
    Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, PR China.
  • Zailong Wu
    China Telecom eSurfing Cloud, Dongcheng District, Beijing, PR China.
  • Guanghui Li
    State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
  • Xiangyu Sun
    Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, PR China.
  • Xiangru Shi
    Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, PR China.
  • Lei Tan
    Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
  • Tianxiang Ai
    China Telecom eSurfing Cloud, Dongcheng District, Beijing, PR China.
  • Long Qu
    China Telecom eSurfing Cloud, Dongcheng District, Beijing, PR China. qulong@chinatelecom.cn.
  • Shuguo Zheng
    Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, PR China. kqzsg86@bjmu.edu.cn.

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