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Updated: Sep 9, 2025

Investigating the Protective Effects of Platycodin D on Non-Alcoholic Fatty Liver Disease in a Palmitic Acid-Induced In Vitro Model
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アディポサイト脂肪酸結合タンパク質に基づく機械学習モデルは,薬物誘発性肝損傷患者の慢性および致死的な結果を予測するのに役立ちます

Haoshuang Fu1, Shuying Song1, Hong Zhao2

  • 1Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Huangpu District, Shanghai 200025, China.

Postgraduate medical journal
|September 1, 2025
PubMed
まとめ

アディポサイト脂肪酸結合タンパク質 (AFABP) レベルは,薬物誘発性肝損傷 (DILI) の進行を予測する. AFABPを使用した機械学習モデルは,慢性または致死性DILIのアウトカムを正確に予測し,臨床的決定を支援します.

キーワード:
アディポサイト脂肪酸結合タンパク質化学薬品や薬剤による肝損傷慢性疾患臨床的特徴臨床的結果肝不全機械学習非侵襲的な予測モデル予後について

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