[HTML][HTML] Model-informed precision dosing: State of the art and future perspectives

IK Minichmayr, E Dreesen, M Centanni, Z Wang… - Advanced drug delivery …, 2024 - Elsevier
Abstract Model-informed precision dosing (MIPD) stands as a significant development in
personalized medicine to tailor drug dosing to individual patient characteristics. MIPD moves …

Computational oncology—mathematical modelling of drug regimens for precision medicine

D Barbolosi, J Ciccolini, B Lacarelle, F Barlési… - Nature reviews Clinical …, 2016 - nature.com
Computational oncology is a generic term that encompasses any form of computer-based
modelling relating to tumour biology and cancer therapy. Mathematical modelling can be …

[图书][B] Basic pharmacokinetics and pharmacodynamics: An integrated textbook and computer simulations

SE Rosenbaum - 2016 - books.google.com
Updated with new chapters and topics, this book provides a comprehensive description of
all essential topics in contemporary pharmacokinetics and pharmacodynamics. It also …

Handling interoccasion variability in model‐based dose individualization using therapeutic drug monitoring data

JA Abrantes, S Jönsson, MO Karlsson… - British journal of …, 2019 - Wiley Online Library
Aims This study aims to assess approaches to handle interoccasion variability (IOV) in a
model‐based therapeutic drug monitoring (TDM) context, using a population …

Optimizing oncology therapeutics through quantitative translational and clinical pharmacology: challenges and opportunities

K Venkatakrishnan, LE Friberg… - Clinical …, 2015 - Wiley Online Library
Despite advances in biomedical research that have deepened our understanding of cancer
hallmarks, resulting in the discovery and development of targeted therapies, the success …

Population pharmacokinetic–pharmacodynamic modelling in oncology: a tool for predicting clinical response

BC Bender, E Schindler… - British journal of clinical …, 2015 - Wiley Online Library
In oncology trials, overall survival (OS) is considered the most reliable and preferred
endpoint to evaluate the benefit of drug treatment. Other relevant variables are also …

Reinforcement learning and Bayesian data assimilation for model‐informed precision dosing in oncology

C Maier, N Hartung, C Kloft, W Huisinga… - CPT …, 2021 - Wiley Online Library
Abstract Model‐informed precision dosing (MIPD) using therapeutic drug/biomarker
monitoring offers the opportunity to significantly improve the efficacy and safety of drug …

Characterization of endogenous G-CSF and the inverse correlation to chemotherapy-induced neutropenia in patients with breast cancer using population modeling

AL Quartino, MO Karlsson, H Lindman… - Pharmaceutical …, 2014 - Springer
Purpose Neutropenia is a severe adverse-event of chemotherapeutics. Neutrophils (ANC)
are mainly regulated by granulocyte colony stimulating factor (G-CSF). The aim was to …

Personalizing oncology treatments by predicting drug efficacy, side‐effects, and improved therapy: mathematics, statistics, and their integration

Z Agur, M Elishmereni, Y Kheifetz - … Reviews: Systems Biology …, 2014 - Wiley Online Library
Despite its great promise, personalized oncology still faces many hurdles, and it is
increasingly clear that targeted drugs and molecular biomarkers alone yield only modest …

Integrated data analysis of six clinical studies points toward model-informed precision dosing of tamoxifen

L Klopp-Schulze, A Mueller-Schoell, P Neven… - Frontiers in …, 2020 - frontiersin.org
Introduction At tamoxifen standard dosing,∼ 20% of breast cancer patients do not reach
proposed target endoxifen concentrations> 5.97 ng/mL. Thus, better understanding the large …