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Updated: Feb 13, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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唾液マイクロエイジ:非侵襲的な老化評価と健康状態の予測のための唾液微生物群ベースの機械学習モデル

Tiansong Xu1,2, Yuting Niu1, Chenyu Deng1,3

  • 1Department of Geriatric 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 China.

iMetaOmics
|February 12, 2026
PubMed
まとめ

Saliva MicroAgeは,機械学習と唾液微生物群データを用いて生物学的年齢を推定しています. この非侵襲的なアプローチ,マイクロエイジギャップは,健康状態と老化プロセスを評価し,正確な健康状態を助けます.

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