Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients

Tang, Jie, Liu, Rong, Zhang, Yue-Li, Liu, Mou-Ze, Hu, Yong-Fang, Shao, Ming-Jie, Zhu, Li-Jun, Xin, Hua-Wen +6 more·2017·Scientific Reports

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  17. Analytical modelling techniques for enhancing tacrolimus dosing in solid organ transplantation: a systematic review protocol
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  27. Models To Predict The Short-Term Survival of Acute-On-Chronic Liver Failure Patients Following Liver Transplantation
    Min Jae Yang, Bo Peng, Quan Zhuang, Junhui Li, Hong Liu, Ke Cheng, Yingzi Ming · 2021 · Research Square
  28. Prospects for the use of artificial neural networks for problem solving in clinical transplantation
    Rivada M. Kurabekova, Алексей Александрович Бельченков, Olga P. Shevchenko · 2021 · Russian Journal of Transplantology and Artificial Organs
  29. Developing a Statistical Modeling‐Based Machine Learning Approach for Capturing Drug Dosing Using a Proton Pump Inhibitor Case
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  31. Mechanism‐informed machine learning for individualized tacrolimus dose adjustment in the early post‐kidney transplant period
    Hui Yu, Zihan Qin, Logan S. Smith, Jeong Mi Park, Hao‐Jie Zhu · 2026 · British Journal of Clinical Pharmacology
  32. AI and ML: challenges and future perspective in artificial organs realm
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  33. Comparison of Machine Learning Algorithms and Bayesian Estimation in Predicting Tacrolimus Concentration in Tunisian Kidney Transplant Patients During the Early Post-Transplant Period
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  39. Optimizing Dosing Regimens of Tacrolimus in Lung Transplant Recipients
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  41. Additional file 1 of The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models
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  44. Artificial Intelligence-Driven Tacrolimus Dosing: Improving Precision in Transplant Care (Preprint)
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  47. Additional file 2 of Predicting quetiapine dose in patients with depression using machine learning techniques based on real-world evidence
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  48. Additional file 1 of Models to predict the short-term survival of acute-on-chronic liver failure patients following liver transplantation
    Yang, Min, Bo Peng, Quan Zhuang, Li, Junhui, Liu, Hong, Cheng, Ke, Ming, Yingzi · 2022 · Figshare
  49. Additional file 1 of Predicting quetiapine dose in patients with depression using machine learning techniques based on real-world evidence
    Yupei Hao, Zhang, Jinyuan, Yu, Jing, Ze Yuan Yu, Yang, Lin, Xin Hao, Gao, Fei, Zhou, Chunhua · 2024 · Figshare
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  52. Machine learning driven precision medicine in tacrolimus dosing: current research and future perspectives in liver and kidney transplantation
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