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

Background: 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 cli

Authors

Kathleen J. Ramos (ORCID: https://orcid.org/0000-0002-2309-368X)
Jennifer S. Guimbellot (ORCID: https://orcid.org/0000-0002-0514-8536)
A. Chalamalla
E.P. Costa
Saly Abouelenein (ORCID: https://orcid.org/0000-0003-1740-6392)

Institutions

University of Washington (US)
University of Alabama System (US)
University of Alabama at Birmingham (US)
University of Arkansas for Medical Sciences (US)

Publication Details

Published: 2025-10-14
DOI: https://doi.org/10.22541/au.176046278.84044061/v1
Primary Topic: ECG Monitoring and Analysis
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Kathleen J. Ramos, Jennifer S. Guimbellot, A. Chalamalla, E.P. Costa et al.

Oct 14, 2025

ECG Monitoring and Analysis

article

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

Kathleen J. Ramos, Jennifer S. Guimbellot, A. Chalamalla, E.P. Costa, Saly Abouelenein

October 14, 2025article en

Abstract

Background: 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 cli

University of Washington (US), University of Alabama System (US), University of Alabama at Birmingham (US), University of Arkansas for Medical Sciences (US)

Openalex Percentile: Top 56%

ECG Monitoring and Analysis

DOI Open Access PDF OpenAlex

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