Machine learning‐based method for tacrolimus dose predictions in Chinese kidney transplant perioperative patients

Q Fu, Y Jing, G Liu Mr, X Jiang Mr, H Liu… - Journal of Clinical …, 2022 - Wiley Online Library
Abstract What is Known and Objectives Tacrolimus (TAC), a first‐line immunosuppressant in
solid‐organ transplant, has a narrow therapeutic window and large inter‐individual …

Improving prediction of tacrolimus concentration using a combination of population pharmacokinetic modeling and machine learning in chinese renal transplant …

YP Wang, XL Lu, K Shao, HQ Shi, PJ Zhou… - Frontiers in …, 2024 - frontiersin.org
Aims The population pharmacokinetic (PPK) model-based machine learning (ML) approach
offers a novel perspective on individual concentration prediction. This study aimed to …

Predictive performance of published tacrolimus population pharmacokinetic models in Thai kidney transplant patients

J Methaneethorn, M Lohitnavy, K Onlamai… - European Journal of …, 2022 - Springer
Abstract Background and Objective Tacrolimus is a narrow therapeutic index drug with high
pharmacokinetic variability, and several tacrolimus population pharmacokinetic (PopPK) …

Improved prediction of tacrolimus concentrations early after kidney transplantation using theory‐based pharmacokinetic modelling

E Størset, N Holford, S Hennig… - British journal of …, 2014 - Wiley Online Library
Aims The aim was to develop a theory‐based population pharmacokinetic model of
tacrolimus in adult kidney transplant recipients and to externally evaluate this model and two …

Application of machine-learning models to predict tacrolimus stable dose in renal transplant recipients

J Tang, R Liu, YL Zhang, MZ Liu, YF Hu, MJ Shao… - Scientific reports, 2017 - nature.com
Tacrolimus has a narrow therapeutic window and considerable variability in clinical use. Our
goal was to compare the performance of multiple linear regression (MLR) and eight machine …

A prospective controlled, randomized clinical trial of kidney transplant recipients developed personalized tacrolimus dosing using model-based Bayesian Prediction

N Lloberas, JM Grinyó, H Colom, A Vidal-Alabró… - Kidney International, 2023 - Elsevier
For three decades, tacrolimus (Tac) dose adjustment in clinical practice has been calculated
empirically according to the manufacturer's labeling based on a patient's body weight. Here …

Tacrolimus exposure prediction using machine learning

JB Woillard, M Labriffe, J Debord… - Clinical Pharmacology …, 2021 - Wiley Online Library
The aim of this work is to estimate the area‐under the blood concentration curve of
tacrolimus (TAC) following bid or qd dosing in organ transplant patients, using Xgboost …

A prediction model for tacrolimus daily dose in kidney transplant recipients with machine learning and deep learning techniques

Q Zhang, X Tian, G Chen, Z Yu, X Zhang, J Lu… - Frontiers in …, 2022 - frontiersin.org
Tacrolimus is a major immunosuppressor against post-transplant rejection in kidney
transplant recipients. However, the narrow therapeutic index of tacrolimus and considerable …

External evaluation of published population pharmacokinetic models of tacrolimus in adult renal transplant recipients

CY Zhao, Z Jiao, JJ Mao, XY Qiu - British journal of clinical …, 2016 - Wiley Online Library
Aim Several tacrolimus population pharmacokinetic models in adult renal transplant
recipients have been established to facilitate dose individualization. However, their …

Prediction of tacrolimus dosage in the early period after heart transplantation: a population pharmacokinetic approach

Y Han, H Zhou, J Cai, J Huang, J Zhang, SJ Shi… - …, 2019 - Taylor & Francis
Aim: The aim of this study was to evaluate tacrolimus population pharmacokinetics and
investigate factors that explain tacrolimus variability in adult heart transplant patients …