Back to search

Article

Predicting Cavg of CFTR Modulators Using Sparse Sampling: Evaluating Single and Multiple Time Points with Machine Learning Approaches

2025-06-12

Abstract excerpt

<h4>Background: </h4> Cystic fibrosis (CF) is caused by genetic variants in the CFTR gene, which causes a defective chloride channel and impaired chloride and water transport. CFTR modulators, including elexacaftor, tezacaftor, and ivacaftor (ETI), improved clinical outcomes by correcting the underlying defect in the CFTR protein. Pharmacokinetic parameters such the average concentration (Cavg) is useful for optim...

Topics

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

Identifiers and source

Literature Corpus work
613fd073-c3e6-52e7-96ec-81d11a404836
DOI
10.22541/au.174973419.93224560/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.
Predicting Cavg of CFTR Modulators Using Sparse Sampling: Evaluating Single and Multiple Time Points with Machine Learning ApproachesDOI 10.22541/au.174973419.93224560/v1
Select a neighboring publication to make it the new centre.