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Researcher
Alex Kensert
- Disciplines:Analytical chemistry, Biomarker discovery and evaluation, Drug discovery and development, Pharmaceutical analysis and quality assurance, Other pharmaceutical sciences
Affiliations
- Pharmaceutical Analysis (Division)
Member
From1 Aug 2018 → Today
Projects
1 - 1 of 1
- Developing machine learning algorithms for chromatographic method developmentFrom31 Jul 2018 → 26 Oct 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 8 of 8
- Developing machine learning algorithms for chromatographic method development(2022)
Authors: Alex Kensert, Deirdre Cabooter
- Multi-model averaging improves the performance of model-guided infliximab dosing in patients with inflammatory bowel diseases(2022)
Authors: Wannee Kantasiripitak, Alex Kensert, Zhigang Wang, João Guedelha Sabino, Séverine Vermeire, Debby Thomas, Marc Ferrante, Erwin Dreesen
Pages: 1045 - 1059 - Convolutional neural network for automated peak detection in reversed-phase liquid chromatography(2022)
Authors: Alex Kensert, Emery Bosten, Gilles Collaerts, Deirdre Cabooter
- Graph Convolutional Networks for Improved Prediction and Interpretability of Chromatographic Retention Data(2021)
Authors: Alex Kensert, Deirdre Cabooter
Pages: 15633 - 15641 - Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms(2021)
Authors: Alex Kensert, Gilles Collaerts, Deirdre Cabooter
- Deep Q-learning for the selection of optimal isocratic scouting runs in liquid chromatography(2021)
Authors: Alex Kensert, Gilles Collaerts, Deirdre Cabooter
- Fast liquid chromatography-tandem mass spectrometry methodology for the analysis of alkylphenols and their ethoxylates in wastewater samples from the tank truck cleaning industry(2019)
Authors: Mélanie Mignot, Maarten Nagels, Alex Kensert, Raf Dewil, Deirdre Cabooter
Pages: 1611 - 1621 - Evaluating parameters for ligand-based modeling with random forest on sparse data sets(2018)
Authors: Alex Kensert