Adoption of Machine Learning in Pharmacometrics: An Overview of Recent Implementations and Their Considerations

Deep compartment models: A deep learning approach for the reliable prediction of time‐series data in pharmacokinetic modeling

(2022) Alexander Janssen et al.   CPT-Pharmacometrics & Systems Pharmacology

Introduction of an artificial neural network–based method for concentration‐time predictions

(2022) Dominic Stefan Bräm et al.   CPT-Pharmacometrics & Systems Pharmacology

Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling

(2022) Alexander Janssen et al.   CPT-Pharmacometrics & Systems Pharmacology

A comparative study of evaluating missing value imputation methods in label-free proteomics

(2021) Liang Jin et al.   Scientific Reports

Machine Learning in Pharmacometrics: Opportunities and Challenges

(2021) Mason McComb et al.   BRITISH JOURNAL OF CLINICAL PHARMACOLOGY

An Ensemble Model for Prediction of Vancomycin Trough Concentrations in Pediatric Patients

(2021) Xiaohui Huang et al.   Drug Design Development and Therapy

Prediction of vancomycin dose on high-dimensional data using machine learning techniques

(2021) Xiaohui Huang et al.   Expert Review of Clinical Pharmacology

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

(2021) Ruizhi Xiang et al.   Frontiers in Genetics

Fast screening of covariates in population models empowered by machine learning

(2021) Emeric Sibieude et al.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS

Neural-ODE for pharmacokinetics modeling and its advantage to alternative machine learning models in predicting new dosing regimens

(2021) James Lu et al.   iScience

Prediction of hemophilia A severity using a small-input machine-learning framework

(2021) Tiago J. S. Lopes et al.   npj Systems Biology and Applications

An artificial neural network−pharmacokinetic model and its interpretation using Shapley additive explanations

(2021) Chika Ogami et al.   CPT-Pharmacometrics & Systems Pharmacology

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

(2021) Guang Yang et al.   Information Fusion

Population pharmacokinetic model selection assisted by machine learning

(2021) Emeric Sibieude et al.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS

Development of a genetic algorithm and NONMEM workbench for automating and improving population pharmacokinetic/pharmacodynamic model selection

(2021) Mohamed Ismail et al.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS

Population Pharmacokinetic Modelling of the Complex Release Kinetics of Octreotide LAR: Defining Sub-Populations by Cluster Analysis

(2021) Iasonas Kapralos et al.   Pharmaceutics

An Introduction to Machine Learning

(2020) Solveig Badillo et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMETTM Plus Platform

(2020) Jeong-An Gim et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Application of a Backpropagation Artificial Neural Network in Predicting Plasma Concentration and Pharmacokinetic Parameters of Oral Single‐Dose Rosuvastatin in Healthy Subjects

(2020) Yichao Xu et al.   Clinical Pharmacology in Drug Development

Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks

(2020) Oscar J. Pellicer-Valero et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Application of Pharmacokinetic-Pharmacodynamic Modeling in Drug Delivery: Development and Challenges

(2020) Huixi Zou et al.   Frontiers in Pharmacology

Tacrolimus Exposure Prediction Using Machine Learning

(2020) Jean‐Baptiste Woillard et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Long short-term memory recurrent neural network for pharmacokinetic-pharmacodynamic modeling

(2020) Xiangyu Liu et al.   INTERNATIONAL JOURNAL OF CLINICAL PHARMACOLOGY AND THERAPEUTICS

A statistical framework for assessing pharmacological responses and biomarkers using uncertainty estimates

(2020) Dennis Wang et al.   eLife

Convolutional Neural Networks for Direct Inference of Pharmacokinetic Parameters: Application to Stroke Dynamic Contrast-Enhanced MRI

(2019) Cagdas Ulas et al.   Frontiers in Neurology

Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas

(2019) David G. P. van IJzendoorn et al.   PLoS Computational Biology

Operating characteristics of stepwise covariate selection in pharmacometric modeling

(2019) Malidi Ahamadi et al.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS

Treatment response classes in major depressive disorder identified by model-based clustering and validated by clinical prediction models

(2019) Riya Paul et al.   Translational Psychiatry

A pharmacogenetic risk score for the evaluation of major depression severity under treatment with antidepressants

(2019) Sofia H. Kanders et al.   DRUG DEVELOPMENT RESEARCH

An Ensemble Model With Clustering Assumption for Warfarin Dose Prediction in Chinese Patients

(2019) Yanyun Tao et al.   IEEE Journal of Biomedical and Health Informatics

A Machine‐Learning Approach to Identify a Prognostic Cytokine Signature That Is Associated With Nivolumab Clearance in Patients With Advanced Melanoma

(2019) Rui Wang et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

(2018) Jared L. Katzman et al.   BMC Medical Research Methodology

Model selection for clustering of pharmacokinetic responses

(2018) Rui P. Guerra et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Big Data Toolsets to Pharmacometrics: Application of Machine Learning for Time-to-Event Analysis

(2018) Xiajing Gong et al.   CTS-Clinical and Translational Science

Learning pharmacokinetic models for in vivo glucocorticoid activation

(2018) Kerstin Bunte et al.   JOURNAL OF THEORETICAL BIOLOGY

Dimensionality reduction for visualizing single-cell data using UMAP

(2018) Etienne Becht et al.   NATURE BIOTECHNOLOGY

Integrated mapping of pharmacokinetics and pharmacodynamics in a patient-derived xenograft model of glioblastoma

(2018) Elizabeth C. Randall et al.   Nature Communications

Precision oncology for acute myeloid leukemia using a knowledge bank approach

(2017) Moritz Gerstung et al.   NATURE GENETICS

A genetic risk score is significantly associated with statin therapy response in the elderly population

(2016) D.M. Ciuculete et al.   CLINICAL GENETICS

Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study

(2014) Anoop D. Shah et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Comparison of Methods for Handling Missing Covariate Data

(2013) Åsa M. Johansson et al.   AAPS Journal

MissForest--non-parametric missing value imputation for mixed-type data

(2011) D. J. Stekhoven et al.   BIOINFORMATICS

Population pharmacokinetics of recombinant factor VIII: the relationships of pharmacokinetics to age and body weight

(2011) S. Bjorkman et al.   BLOOD

Pharmacokinetic-Pharmacodynamic Analysis of Vismodegib in Preclinical Models of Mutational and Ligand-Dependent Hedgehog Pathway Activation

(2011) H. Wong et al.   CLINICAL CANCER RESEARCH

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics

Multi-state models for the analysis of time-to-event data

(2008) Luís Meira-Machado et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Mechanism-based pharmacokinetic-pharmacodynamic (PK-PD) modeling in translational drug research

(2008) M DANHOF et al.   TRENDS IN PHARMACOLOGICAL SCIENCES