3 papers
math.OC2021
A continued learning approach for model-informed precision dosing: updating models in clinical practice
Corinna Maier, Jana de Wiljes, Niklas Hartung +2
Model-informed precision dosing (MIPD) is a quantitative dosing framework that combines prior knowledge on the drug-disease-patient system with patient data from therapeutic drug/…
stat.ML2020
Reinforcement learning and Bayesian data assimilation for model-informed precision dosing in oncology
Corinna Maier, Niklas Hartung, Charlotte Kloft +2
Model-informed precision dosing (MIPD) using therapeutic drug/biomarker monitoring offers the opportunity to significantly improve the efficacy and safety of drug therapies. Curren…
q-bio.QM2019
Bayesian data assimilation to support informed decision-making in individualised chemotherapy
Corinna Maier, Niklas Hartung, Jana de Wiljes +2
An essential component of therapeutic drug/biomarker monitoring (TDM) is to combine patient data with prior knowledge for model-based predictions of therapy outcomes. Current Bayes…