
Laura Zwep
Universitair docent
- Naam
- Dr. L.B. Zwep
- Telefoon
- +31 71 527 2727
- l.b.zwep@lacdr.leidenuniv.nl
- ORCID iD
- 0000-0002-6817-2859
Universitair docent
- Wiskunde en Natuurwetenschappen
- Leiden Academic Centre for Drug Research
- LACDR/Pharmacology
- Hartog I. den, Karu N., Zwep L.B., Voorn P.G., Garde E.M.W. van de, Hankemeier T. & Hasselt C.J.G. van (2023), Differential metabolic host response to pathogens associated with community-acquired pneumonia, Metabolism open 18: 100239.
- Zwep L.B. (12 april 2023), Statistical learning for complex data to enable precision medicine strategies (Dissertatie. Leiden Academic Centre for Drug Research (LADCR), Faculty of Science, Leiden University). Promotor(en) en Copromotor(en): Meulman J.J., Hasselt J.G.C. van.
- Zwep L.B., Haakman Y., Duisters K.L.W., Meulman J.J., Liakopoulos A. & Hasselt J.G.C. van (2021), Identification of antibiotic collateral sensitivity and resistance interactions in population surveillance data, JAC - Antimicrobial Resistance 3(4): dlab175.
- Hartog I. den, Zwep L.B., Vestjens S.M.T., Harms A.C., Voorn G.P., Lange D.W. de, Bos W.J.W., Hankemeier T., Garde E.M.W. & Hasselt J.G.C. van (2021), Metabolomic profiling of microbial disease etiology in community-acquired pneumonia, PLoS ONE 16(6).
- Zwep L.B., Duisters K.L.W., Jansen M., Guo T., Meulman J.J., Upadhyay P. & Hasselt J.G.C. (2021), Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling, CPT: Pharmacometrics & Systems Pharmacology 10(4): 350-361.
- Guo T.J., Hest R.M. van, Zwep L.B., Roggeveen L.F., Fleuren L.M., Bosman R.J., Voort P.H.J. van der, Girbes A.R.J., Mathot R.A.A., Elbers P.W.G. & Hasselt J.G.C. van (2020), Optimizing predictive performance of bayesian forecasting for vancomycin concentration in intensive care patients, Pharmaceutical Research 37: 171.
- Goulooze S.C., Zwep L.B., Vogt J.E., Krekels E.H.J., Hankemeier T., Anker J.N. van den & Knibbe C.A.J. (2020), Beyond the randomized clinical trial: innovative data science to close the pediatric evidence gap, Clinical Pharmacology & Therapeutics 107(4): 786-795.
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