Cargando…

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

Model‐informed precision dosing (MIPD) using therapeutic drug/biomarker monitoring offers the opportunity to significantly improve the efficacy and safety of drug therapies. Current strategies comprise model‐informed dosing tables or are based on maximum a posteriori estimates. These approaches, how...

Descripción completa

Detalles Bibliográficos
Autores principales:	Maier, Corinna, Hartung, Niklas, Kloft, Charlotte, Huisinga, Wilhelm, de Wiljes, Jana
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7965840/ https://www.ncbi.nlm.nih.gov/pubmed/33470053 http://dx.doi.org/10.1002/psp4.12588

Ejemplares similares

Bayesian Data Assimilation to Support Informed Decision Making in Individualized Chemotherapy
por: Maier, Corinna, et al.
Publicado: (2020)

A continued learning approach for model‐informed precision dosing: Updating models in clinical practice
por: Maier, Corinna, et al.
Publicado: (2021)

Towards Model-Informed Precision Dosing of Voriconazole: Challenging Published Voriconazole Nonlinear Mixed-Effects Models with Real-World Clinical Data
por: Kluwe, Franziska, et al.
Publicado: (2023)

Reinforcement Learning for Precision Oncology
por: Eckardt, Jan-Niklas, et al.
Publicado: (2021)

Role of renal function in risk assessment of target non-attainment after standard dosing of meropenem in critically ill patients: a prospective observational study
por: Ehmann, Lisa, et al.
Publicado: (2017)

Semimechanistic Clearance Models of Oncology Biotherapeutics and Impact of Study Design: Cetuximab as a Case Study
por: Grisic, Ana‐Marija, et al.
Publicado: (2020)

Cell‐level systems biology model to study inflammatory bowel diseases and their treatment options
por: Stübler, Sabine, et al.
Publicado: (2023)

Development of a Model-Informed Dosing Tool to Optimise Initial Antibiotic Dosing—A Translational Example for Intensive Care Units
por: Weinelt, Ferdinand Anton, et al.
Publicado: (2021)

Deriving mechanism‐based pharmacodynamic models by reducing quantitative systems pharmacology models: An application to warfarin
por: Falkenhagen, Undine, et al.
Publicado: (2023)

A prognostic baseline blood biomarker and tumor growth kinetics integrated model in paclitaxel/platinum treated advanced non‐small cell lung cancer patients
por: Ojara, Francis Williams, et al.
Publicado: (2023)

Nonlinear pharmacokinetics of therapeutic proteins resulting from receptor mediated endocytosis
por: Krippendorff, Ben-Fillippo, et al.
Publicado: (2009)

C-Reactive Protein as an Early Predictor of Efficacy in Advanced Non-Small-Cell Lung Cancer Patients: A Tumor Dynamics-Biomarker Modeling Framework
por: Nassar, Yomna M., et al.
Publicado: (2023)

Nonparametric goodness‐of‐fit testing for parametric covariate models in pharmacometric analyses
por: Hartung, Niklas, et al.
Publicado: (2021)

Translational Pharmacometric Evaluation of Typical Antibiotic Broad‐Spectrum Combination Therapies Against Staphylococcus Aureus Exploiting In Vitro Information
por: Wicha, SG, et al.
Publicado: (2017)

Probabilistic forecasting and Bayesian data assimilation
por: Reich, Sebastian, et al.
Publicado: (2015)

Physiology-based toxicokinetic modelling of aluminium in rat and man
por: Hethey, Christoph, et al.
Publicado: (2021)

Comparative Plasma and Interstitial Tissue Fluid Pharmacokinetics of Meropenem Demonstrate the Need for Increasing Dose and Infusion Duration in Obese and Non-obese Patients
por: Busse, David, et al.
Publicado: (2021)

Integrated Data Analysis of Six Clinical Studies Points Toward Model-Informed Precision Dosing of Tamoxifen
por: Klopp-Schulze, Lena, et al.
Publicado: (2020)

Simulation-Based Assessment of the Impact of Non-Adherence on Endoxifen Target Attainment in Different Tamoxifen Dosing Strategies
por: Mueller-Schoell, Anna, et al.
Publicado: (2021)

Bayesian sequential data assimilation for COVID-19 forecasting
por: Daza-Torres, Maria L., et al.
Publicado: (2022)

Computational Treatment Simulations to Assess the Need for Personalized Tamoxifen Dosing in Breast Cancer Patients of Different Biogeographical Groups
por: Mueller-Schoell, Anna, et al.
Publicado: (2021)

A Bayesian Network Approach to Explainable Reinforcement Learning with Distal Information
por: Milani, Rudy, et al.
Publicado: (2023)

Which Analysis Approach Is Adequate to Leverage Clinical Microdialysis Data? A Quantitative Comparison to Investigate Exposure and Response Exemplified by Levofloxacin
por: Busse, David, et al.
Publicado: (2021)

Benchmarking for Bayesian Reinforcement Learning
por: Castronovo, Michael, et al.
Publicado: (2016)

Variant information systems for precision oncology
por: Starlinger, Johannes, et al.
Publicado: (2018)

Model-Informed Target Morning 17α-Hydroxyprogesterone Concentrations in Dried Blood Spots for Pediatric Congenital Adrenal Hyperplasia Patients
por: Stachanow, Viktoria, et al.
Publicado: (2023)

An interpretable deep learning framework for genome-informed precision oncology
por: Ren, Shuangxia, et al.
Publicado: (2023)

Bayesian reinforcement learning: a survey
por: Ghavamzadeh, Mohammed, et al.
Publicado: (2015)

Bayesian Data Assimilation of Temperature Dependence of Solid–Liquid Interfacial Properties of Nickel
por: Nagatsuma, Yuhi, et al.
Publicado: (2021)

Model enhanced reinforcement learning to enable precision dosing: A theoretical case study with dosing of propofol
por: Ribba, Benjamin, et al.
Publicado: (2022)

Evaluation of a Meropenem and Piperacillin Monitoring Program in Intensive Care Unit Patients Calls for the Regular Assessment of Empirical Targets and Easy-to-Use Dosing Decision Tools
por: Weinelt, Ferdinand Anton, et al.
Publicado: (2022)

Exploring Dried Blood Spot Cortisol Concentrations as an Alternative for Monitoring Pediatric Adrenal Insufficiency Patients: A Model-Based Analysis
por: Stachanow, Viktoria, et al.
Publicado: (2022)

Pharmacokinetic equations versus Bayesian guided vancomycin monitoring: Pharmacokinetic model and model‐informed precision dosing trial simulations
por: Aljutayli, Abdullah, et al.
Publicado: (2022)

Data Assimilation to extract Soil Moisture Information from SMAP Observations
por: Kolassa, Jana, et al.
Publicado: (2017)

Comparative Study of Bayesian Information Borrowing Methods in Oncology Clinical Trials
por: Su, Liwen, et al.
Publicado: (2022)

Insights in the maturational processes influencing hydrocortisone pharmacokinetics in congenital adrenal hyperplasia patients using a middle-out approach
por: Michelet, Robin, et al.
Publicado: (2023)

Learning and forgetting using reinforced Bayesian change detection
por: Moens, Vincent, et al.
Publicado: (2019)

Assimilation of SMAP Brightness Temperature Observations in the GEOS Land–Atmosphere Data Assimilation System
por: Reichle, Rolf H., et al.
Publicado: (2021)

Model-Informed Precision Dosing (MIPD)
por: Pérez-Blanco, Jonás Samuel, et al.
Publicado: (2022)

Quantification of the Time Course of CYP3A Inhibition, Activation, and Induction Using a Population Pharmacokinetic Model of Microdosed Midazolam Continuous Infusion
por: Nassar, Yomna M., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_7hkcm3juku4d766k753bq6eds7