Back to search

Article

A machine learning approach to population pharmacokinetic modelling automation

2024-06-20

Abstract excerpt

<title>Abstract</title> <p>Population pharmacokinetic (PopPK) models are vital for decision making across the drug development lifecycle; however, conventional model development is labour-intensive and time-consuming. In this paper, we present an approach to automatically develop popPK model structures for extravascularly administered drugs using optimisation algorithms. We propose a generic parameter space for g...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2cdb0669-f231-5b23-89ab-5f5d3fd4de5c
DOI
10.21203/rs.3.rs-4534358/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A machine learning approach to population pharmacokinetic modelling automationDOI 10.21203/rs.3.rs-4534358/v1
Select a neighboring publication to make it the new centre.