Quantitative Pharmacology
The Quantitative Pharmacology group headed by Coen van Hasselt focusses on the application of state-of-the-art quantitative pharmacometrics and systems pharmacology modeling combined with translational experimental models to develop personalized treatment strategies for antibiotics and to combat antimicrobial resistance.
Our research is primarily focused to optimize treatment of bacterial infections using antibiotics, aiming to integrate optimal drug exposure in different patient populations, personalized immune response biomarkers, and bacterial growth kill dynamics. Through this integration we believe antimicrobial dose regimens can be further optimized leading to optimal efficacy and minimal resistance development. To these aims, we apply a tight integration between computational modeling and experimental work.
In our group we have expertise in the areas of modeling in pharmacometrics & systems pharmacology, bioinformatics analysis of omics data, basic molecular biology approaches, and antibiotics PK/PD experiments. We have a fully equipped experimental laboratory and a dedicated high performance computing cluster. All our work is done according to FAIR principles.
Principal Investigator
News
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Finally solved: how the body's own marijuana spreads through the brain -
One million euros grant for smart antibiotic combinations – tackling resistant infections and antimicrobial resistance -
During the next pandemic, this mathematical model will speed up the search for treatment -
Rethinking antibiotic therapy of urinary tract infections -
Improving nature’s antibiotic -
Reliable research with virtual patients -
Dutch Research Council Open Science Fund grants for five Leiden projects -
ENW grant from the Dutch Research Council (NWO): Reversing antimicrobial resistance using bacteriophage -
New treatments for life-threatening disease sepsis -
Grant Elise Mathilde Fund & LUF: Using virus to kill bacteria: design of innovative phage-antibiotic combination treatments to combat antimicrobial resistance -
Children become bacteria to learn about antibiotics -
Researchers tackle antibiotic-resistant bacteria -
Combating antibiotic resistance together -
Combatting antibiotic resistance in a clever way -
Improving the treatment of newborn babies with life-threatening sepsis -
Master projects continue thanks to lab automation -
Two times KNMP Student Award for Leiden students -
International media report on Leiden dosage app for corona patients -
App helps doctors find the right dose of corona medication -
Innovative approach to antibiotic resistance -
ZonMW awards funding for LACDR research project to develop novel biomarkers for bacterial infections
Recent Dissertations
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Quantitative pharmacology approaches to inform treatment strategies against tuberculosis -
Quantitative pharmacological modelling for optimizing treatment of sepsis -
Statistical learning for complex data to enable precision medicine strategies -
Quantitative pharmacology of antimicrobials -
Quantitative systems pharmacology modeling of biotherapeutics in oncology