Coen van Hasselt

Associate Professor, Leiden University

Coen van Hasselt received a PhD from Utrecht University/Netherlands Cancer Institute in 2014, where he also obtained his certification as a clinical pharmacologist. During his PhD research, Coen focused on the use of quantitative pharmacological models to optimize treatment strategies with anticancer agents. After working as a postdoctoral researcher at Leiden University, he obtained a prestigious Marie Curie Individual Fellowship to work as a postdoctoral research fellow at the Icahn School of Medicine at Mount Sinai (New York, US). In 2018, Coen returned to Leiden University and the Leiden Academic Centre for Drug Research (LACDR), where he has started his research group on Quantitative Pharmacology. His research is research is primarily focused on the development of innovative treatment strategies with antimicrobial agents to combat the emerging challenge of antimicrobial resistance. His group applies a combination of computational modeling approaches in pharmacometrics and systems pharmacology and advanced experimental infections models. The group is currently leading the innovative training network TIPAT, which aims to develop innovative personalized treatments of antibiotic treatments.

Presentation: Quantitative pharmacological modelling of antibiotics and AMR

Antibiotics represent a corner stone of modern medicine, yet their effectiveness is threatened due to the global increase in antimicrobial resistance and limited success in the development of novel antibiotics. To this end, design of personalized antimicrobial treatment strategies which improve treatment outcomes and mitigate the risk of resistance development are essential. Our group is focusing on quantitative pharmacological modelling of antimicrobials, where we explicitly consider patient, pathogen, and drug-associated factors which together drive treatment response. I will present our approach which combines the use of computational pharmacokinetic-pharmacodynamic (PK-PD) modelling with translational experiments, to derive optimized antimicrobial strategies countering resistance. 

 

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