0000000000668500

AUTHOR

An Vermeulen

showing 2 related works from this author

A survey on IVIVC/IVIVR development in the pharmaceutical industry – Past experience and current perspectives

2017

The present work aimed to describe the current status of IVIVC/IVIVR development in the pharmaceutical industry, focusing on the use and perception of specific approaches as well as successful and failed case studies. Two questionnaires have been distributed to 13 EFPIA partners of the Oral Biopharmaceutics Tools Initiative and to the Pharmacokinetics Working Party of the European Medicines Agency in order to capture the perspectives and experiences of industry scientists and agency members, respectively. Responses from ten companies and three European Agencies were received between May 21st 2014 and January 19th 2016. The majority of the companies acknowledged the importance of IVIVC/IVIVR…

Drug IndustryOperations researchPharmaceutical Science02 engineering and technologyModels Biological030226 pharmacology & pharmacy03 medical and health sciences0302 clinical medicineIVIVCSurveys and QuestionnairesDrug DiscoveryAgency (sociology)AnimalsHumansRelevance (law)MedicinePharmacokineticsMarketingPharmaceutical industryRate of returnFlexibility (engineering)business.industry021001 nanoscience & nanotechnologyDrug developmentPositive attitude0210 nano-technologybusinessEuropean Journal of Pharmaceutical Sciences
researchProduct

Towards patient stratification and treatment in the autoimmune disease lupus erythematosus using a systems pharmacology approach

2015

Drug development in Systemic Lupus Erythematosus (SLE) has been hindered by poor translation from successful preclinical experiments to clinical efficacy. This lack of success has been attributed to the high heterogeneity of SLE patients and to the lack of understanding of disease physiopathology. Modelling approaches could be useful for supporting the identification of targets, biomarkers and patient subpopulations with differential response to drugs. However, the use of traditional quantitative models based on differential equations is not justifiable in a sparse data situation. Boolean networks models are less demanding on the required data to be implemented and can provide insights into…

0301 basic medicineDrugSystems biologymedia_common.quotation_subjectPharmaceutical ScienceAntineoplastic AgentsDiseaseBioinformaticsAutoimmune Diseases03 medical and health sciencesmedicineAnimalsCluster AnalysisHumansLupus Erythematosus SystemicComputer Simulationmedia_commonAutoimmune diseaseLupus erythematosusbusiness.industrySystems Biologymedicine.diseaseTreatment Outcome030104 developmental biologyDrug developmentPharmacology ClinicalbusinessBiological networkSystems pharmacologyEuropean Journal of Pharmaceutical Sciences
researchProduct