Fast screening of covariates in population models empowered by machine learning

Application of Machine Learning in Drug Development and Regulation: Current Status and Future Potential

(2020) Qi Liu et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Pharmacometrics and Machine Learning Partner to Advance Clinical Data Analysis

(2020) Gilbert Koch et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Machine Learning Analysis of Individual Tumor Lesions in Four Metastatic Colorectal Cancer Clinical Studies: Linking Tumor Heterogeneity to Overall Survival

(2020) Diego Vera-Yunca et al.   AAPS Journal

Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence

(2019) Huiying Liang et al.   NATURE MEDICINE

Advances of machine learning in molecular modeling and simulation

(2019) Mojtaba Haghighatlari et al.   Current Opinion in Chemical Engineering

Mechanistic models versus machine learning, a fight worth fighting for the biological community?

(2018) Ruth E. Baker et al.   Biology Letters

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

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

Accelerating Monte Carlo power studies through parametric power estimation

(2016) Sebastian Ueckert et al.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS

Enhanced Method for Diagnosing Pharmacometric Models: Random Sampling from Conditional Distributions

(2016) Marc Lavielle et al.   PHARMACEUTICAL RESEARCH

A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening

(2014) Jouhyun Jeon et al.   Genome Medicine

A Fast Method for Testing Covariates in Population PK/PD Models

(2011) Akash Khandelwal et al.   AAPS Journal

Pharmacogenomics

(2011) Dan M. Roden et al.   CIRCULATION

Machine Learning Methods and Docking for Predicting Human Pregnane X Receptor Activation

(2008) Akash Khandelwal et al.   CHEMICAL RESEARCH IN TOXICOLOGY