Charlie Beirnaert
Edegem, VLG, Belgium
Last Updated: 09/26/2026
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Found 14 publications
Clinical Decision Support for Improved Neonatal Care: The Development of a Machine Learning Model for the Prediction of Late-onset Sepsis and Necrotizing Enterocolitis.
Journal: The Journal of pediatrics
Published: July 20, 2023
Machine Learning to Support Hemodynamic Intervention in the Neonatal Intensive Care Unit.
Journal: Clinics in perinatology
Published: July 28, 2020
Exposure of HepaRG Cells to Sodium Saccharin Underpins the Importance of Including Non-Hepatotoxic Compounds When Investigating Toxicological Modes of Action Using Metabolomics.
Journal: Metabolites
Published: October 10, 2019
Using Expert Driven Machine Learning to Enhance Dynamic Metabolomics Data Analysis.
Journal: Metabolites
Published: January 18, 2019
Untargeted liquid chromatography-mass spectrometry metabolomics to assess drug-induced cholestatic features in HepaRG® cells.
Journal: Toxicology and applied pharmacology
Published: January 11, 2019
The use of plasma donor-derived, cell-free DNA to monitor acute rejection after kidney transplantation.
Journal: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Published: December 27, 2018
Revelation of the metabolic pathway of hederacoside C using an innovative data analysis strategy for dynamic multiclass biotransformation experiments.
Journal: Journal of chromatography. A
Published: December 19, 2018
speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification.
Journal: PLoS computational biology
Published: June 06, 2017
Last Updated: 09/26/2026