Machine learning in pharmacometrics: Opportunities and challenges

M McComb, R Bies… - British Journal of Clinical …, 2022 - Wiley Online Library
The explosive growth in medical devices, imaging and diagnostics, computing, and
communication and information technologies in drug development and healthcare has …

Calibration of ionic and cellular cardiac electrophysiology models

DG Whittaker, M Clerx, CL Lei… - … Systems Biology and …, 2020 - Wiley Online Library
Cardiac electrophysiology models are among the most mature and well‐studied
mathematical models of biological systems. This maturity is bringing new challenges as …

NONMEM tutorial part I: description of commands and options, with simple examples of population analysis

RJ Bauer - CPT: pharmacometrics & systems pharmacology, 2019 - Wiley Online Library
In this tutorial, the various components of NONMEM will be described, and the basic steps of
setting up NONMEM control stream files and data files will be demonstrated. Some basic …

Explainable deep learning for tumor dynamic modeling and overall survival prediction using Neural-ODE

M Laurie, J Lu - npj Systems Biology and Applications, 2023 - nature.com
While tumor dynamic modeling has been widely applied to support the development of
oncology drugs, there remains a need to increase predictivity, enable personalized therapy …

Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modelling

J Lu, B Bender, JY Jin, Y Guan - Nature machine intelligence, 2021 - nature.com
Longitudinal analyses of patient response time courses following doses of therapeutics are
currently performed using pharmacokinetic/pharmacodynamic (PK/PD) methodologies …

Release and decay kinetics of copeptin vs AVP in response to osmotic alterations in healthy volunteers

WK Fenske, I Schnyder, G Koch, C Walti… - The Journal of …, 2018 - academic.oup.com
Context Copeptin is the C-terminal fragment of the arginine vasopressin (AVP) prohormone
whose measurement is more robust than that of AVP. Similar release and clearance …

Early survival prediction framework in CD19-specific CAR-T cell immunotherapy using a quantitative systems pharmacology model

A Mueller-Schoell, N Puebla-Osorio, R Michelet… - Cancers, 2021 - mdpi.com
Simple Summary Treatment with chimeric antigen receptor (CAR)-T cells has improved the
prognosis of patients with non-Hodgkin lymphoma (NHL) substantially. Yet, as up to 60% of …

Parametric approaches in population pharmacokinetics

M Guidi, C Csajka, T Buclin - The Journal of Clinical …, 2022 - Wiley Online Library
Population pharmacokinetic (popPK) approaches have spread widely throughout clinical
pharmacology research, and every clinician should have some understanding of them. After …

Arterial pressure and the rate of elimination of crystalloid fluid

RG Hahn - Anesthesia & Analgesia, 2017 - journals.lww.com
Excretion of crystalloid fluid is slow during general anesthesia. The distribution and
elimination of buffered Ringer's solution were analyzed to determine whether the rate of …

Multivariate modeling of magnetic resonance biomarkers and clinical outcome measures for Duchenne muscular dystrophy clinical trials

S Kim, RJ Willcocks, MJ Daniels… - CPT …, 2023 - Wiley Online Library
Although regulatory agencies encourage inclusion of imaging biomarkers in clinical trials for
Duchenne muscular dystrophy (DMD), industry receives minimal guidance on how to use …