activity
20192023
most citedBayesian Framework for Multi-Source Data Integration -- Application to Human Extrapolation From Preclinical Studies

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

q-bio.QM2023

Index analysis: an approach to understand signal transduction with application to the EGFR signalling pathway

Jane Knöchel, Charlotte Kloft, Wilhelm Huisinga

In systems biology and pharmacology, large-scale kinetic models are used to study the dynamic response of a system to a specific input or stimulus. While in many applications, a de…

stat.ME2022★ 1 cited

Bayesian Framework for Multi-Source Data Integration -- Application to Human Extrapolation From Preclinical Studies

Sandrine Boulet, Moreno Ursino, Robin Michelet +4

In preclinical investigations, e.g. in in vitro, in vivo and in silico studies, the pharmacokinetic, pharmacodynamic and toxicological characteristics of a drug are evaluated befor…

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…