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N-terminal propeptide of type 3 collagen-based sequential algorithm can identify high-risk steatohepatitis and fibrosis in MAFLD.

Liang-Jie TangGang LiMohammed EslamPei-Wu ZhuSui-Dan ChenHoward Ho-Wai LeungOu-Yang HuangGrace Lai-Hung WongYu-Jie ZhouMorten KarsdalDiana Julie LeemingPei JiangCong WangHai-Yang YuanChristopher D ByrneGiovanni TargherJacob GeorgeVincent Wai-Sun WongMing-Hua Zheng
Published in: Hepatology international (2022)
The new sequential algorithm reliably identifies liver inflammation and fibrosis in MAFLD, making it easier to exclude low-risk patients and recommending high-risk MAFLD patients for clinical trials and emerging pharmacotherapies.
Keyphrases
  • end stage renal disease
  • clinical trial
  • newly diagnosed
  • ejection fraction
  • machine learning
  • prognostic factors
  • peritoneal dialysis
  • deep learning
  • gene expression
  • study protocol
  • neural network