1,479 search results for “optimise drug dosing” in the Public website
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The role of glomerular filtration and active tubular secretion in predicting renal clearance in children using population pharmacokinetic and
In this thesis population pharmacokinetic and physiologically-based pharmacokinetic (PBPK) approaches were applied to investigate the influence of glomerular filtration (GF) and active tubular secretion (ATS) on renal clearance in children.
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Personalised pharmacotherapy in paediatric epilepsy : the path to rational drug and dose selection
The path to rational drug and dose selection
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Optimisation of first clinical studies in special populations: towards semi-physiological pharmacokinetic models
Promotor: M. Danhof, Co-promotores: J. Freijer, A. Yassen
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How do children's kidneys eliminate drugs?
What dose of medicine do you give a child? That depends to a large extent on how quickly their kidneys remove the drug from the blood. For ethical reasons it is impossible to measure this directly in little patients. PhD candidate Sinziana Cristea combined different types of modelling and lots of data…
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Determining the most appropriate dose metrics for evaluating dose-response relationships of metal-based nanoparticles to Zebrafish embryos
Promotores: Prof.dr. W.J.G.M. Peijnenburg & Dr. M.G. Vijver
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Develop a methodology for assessing the effective dose of nanomaterials for environmental risk assessment purposes
How to make a quantitative assessment of the relative contribution to toxicity of ions and particles? Is the toxicity of nanoparticles related to their size or shape? Which physicochemical property of nanoparticles is an appropriate dose metric of nanoparticles?
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Drug-Related Homicide in Europe
Drug-related homicide (DRH) has the potential to act as a valuable indicator of wider drug-related crime. Yet DRH remains a knowledge gap within this broader field of study.
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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ECOLE: Experience-based COmputation: Learning to optimisE
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) will develop a training programme the next generation of early stage researchers (ESRs). During a four years project they will be trained to approach industrial challenges in a holistic manner by developing solutions in an automotive…
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Individualized dosing of aminoglycosides and glycopeptide antibiotics in (morbidly) obese patients (AMIGO)
Timely, adequate and optimal treatment of infectious diseases is essential for the survival of patients with bacterial infections (Surviving Sepsis campaign).
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Concepts and applications for evidence-based dosing in morbidly obese patients before and after weight loss surgery
Promotor: C.A.J. Knibbe, Co-promotores: H.P.A. van Dongen, B. van Ramshorst
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
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From Descriptive to Predictive Pharmacology in Children using Semi-Physiological population modelling
An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.
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Drug research
In the drug research theme we generally work with rodents.
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Pharmacogenomics in drug development: implementation and application of PKPD model based approaches
Promotor: Prof.dr. M. Danhof, Co-Promotor: J. de Jongh
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Leiden Academic Centre for Drug Research
Drug development is a complex process in which many parties work together. Every day, the researchers at LACDR devote their energies to developing drugs that are new, better, more efficient and easier to produce. And thus to the millions of patients who know all too well why this research in Leiden…
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Novel immunomodulatory drugs for tuberculosis treatment
Can drugs that target host signaling pathways be used to eradicate antibiotic-resistant bacteria?
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Novel target engagement biomarkers for better drug candidates
Is is possible to better predict the validity of drug candidates?
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Individualized dosing of serotherapy in allogeneic hematopoietic cell transplantation - a delicate balance
Promotor: C.A.J. Knibbe, Co-promotor: J.J. Boelens, R.G.M. Bredius
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Drug Discovery & Safety
In the research programme Drug Discovery & Safety, we are interested in the efficacy and safety of new drugs and novel means to decipher these aspects. Hence, we employ advanced imaging and high-throughput screening techniques next to computational approaches such as chem- and bioinformatics.
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Drug discovery pipeline
The drug discovery pipeline is used to describe the stages in drug discovery. The earliest stage concerns with the identification of potential targets and molecules ('hits') that can modulate their function, while more advanced stages are about developing these hits into viable experimental drugs and…
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Data-Driven Drug Discovery Network (D4N)
The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.
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Drug safety Sciences
Our research in the area of safety sciences aims to increase the mechanistic understanding of cellular toxicity of drugs and, in a broader sense, chemicals.
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Cancer Drug Target Discovery
We focus on a better understanding of the mechanisms of cancer drug resistance and metastasis.
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Mechanistic modelling of drug target binding kinetics as determinant of the time course of drug action in vivo
Drug-target binding kinetics determine the time course of the central event in pharmacotherapy: Drug-target interaction.
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The impact of obesity on the pharmacokinetics of drugs in adolescents and adults
Promotores: C.A.J. Knibbe; J.N. van den Anker, Co-promotores: H.P.A. van Dongen; B. van Ramshorst
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Cancer Drug Target Discovery
In this research group, headed by Prof. Erik Danen, the aim is to unravel cellular signaling mechanisms in normal and diseased cells, with a long-standing interest in cell adhesion signaling. In complex multicellular organisms such as ourselves, a division of labor emerges where different tissues and…
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Dynamics of TNFalpha signaling and drug-related toxicity
In previous studies at our laboratory it was demonstrated that drug exposure of HepG2 cells can lead to an altered TNFα-induced NF-κB oscillatory phenotype, concurrent with a synergistically increased sensitivity for TNFα-induced apoptosis.
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Reverse engineering of drug induced QT(c) interval prolongation: Towards a systems pharmacology approach
Promotor: M. Danhof Co-promotor: O.E. Della Pasqua
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Computational Drug Discovery
Research in this group, headed by Gerard van Westen, focusses on computational methods integrated in different parts of the drug discovery process. More specifically, topics include innovative treatments for cancer, selectivity modeling, translational research, allosteric modulation, drug resistance…
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Drug Discovery and Safety (MSc)
The master's specialisation Drug Discovery and Safety at Leiden University provides students with research-oriented education into the discovery of new drug targets and new lead molecules, particularly in the field of cancer, through a combination of advanced imaging techniques (‘systems microscopy’),…
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Unravelling cancer drug resistance mechanisms
Mechanisms fro drug resistance
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Collaborative and effective drug development
There are many complex links in the chain that provides patients with new drugs: from fundamental science, to clinical tests, to production. The entire chain can be found in Leiden. Leiden University, the Leiden University Medical Center (LUMC) and the businesses at the Leiden Bio Science Park (LBSP)…
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Scientific computing for Drug Discovery in Python and/or R
Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.
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Leiden Early Drug Discovery & Development
Despite recent advances in medicine, many devastating disorders like cancer and cardiovascular, neurodegenerative and infectious diseases still lack effective treatments. In order to address this challenge, we, as scientists from Leiden University, joined hands in the LED3 network. LED3, for Leiden…
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Division of Drug Discovery & Safety
We are interested in the efficacy and safety of new drugs and novel means to decipher these aspects. Hence, we employ advanced imaging and high-throughput screening techniques next to computational approaches such as chem- and bioinformatics.
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24-hour rhythms in drug exposure and effect
Although rarely considered by the pharmaceutical industry or clinicians, 24-hour rhythms in physiology are a factor of potential influence on the pharmacokinetics and pharmacodynamics of drugs.
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Cancer Therapeutics and Drug Safety
In this research group, headed by Bob Van de Water, cell signaling programs that underlie adverse drug reactions as well as cancer development and progression are unraveled. Adverse drug reactions involve cell injury in critical target organ cells which leads to the activation of cellular stress response…
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Translational drug discovery and development
We cover the entire spectrum from target identification to the evaluation of the efficacy and safety of novel medicines in clinical practice.
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LED3 Drug Discovery Case Studies
To get a feeling of how we operate at LED3 when it comes to Early Drug Discovery, please browse through our case studies. When you select a case study you’ll find relevant contacts.
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Prediction of spatial-temporal brain drug distribution with a novel mathematical model
A novel mathematical model describes spatial-temporal drug distribution within one or more brain units, which are cubic representations of a piece of brain tissue with brain capillaries at the edges.
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value of semi-physiological models for clearance of renally excreted drugs across the paediatric age range
The kidneys play a major role in the elimination of drugs. In children, the exact age-related physiological changes underlying kidney function remain largely unknown.
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Microneedle-based drug and vaccine delivery via nanoporous microneedle arrays
In the literature, several types of microneedles have been extensively described. However, porous microneedle arrays only received minimal attention. Hence, only little is known about drug delivery via these microneedles. However, porous microneedle arrays may have potential for future microneedle-based…
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Kinetics for drug discovery – The first step towards an improved drug discovery paradigm
Supervisor: Indira Nederpelt
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Leiden Academic Centre for Drug Research
The Leiden Academic Centre for Drug Research (LACDR) is a centre of excellence for multidisciplinary research on drug discovery and development.
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Systems pharmacology-based translational drug pharmacokinetics
High-throughput holistic preclinical screens are increasingly used in drug discovery, to assess both drug efficacy and drug safety.
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Advanced in vitro models for studying drug induced toxicity
Promotor: Prof.dr. B. van de Water, Co-promotor: L.S. Price
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Drug-target binding kinetics in vivo
A next, general pharmacological problem to be tackled is how drug-target binding kinetics in vivo, affects target occupancy as an important indicator of the time-course of drug effects.
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Activity-based protein profiling in drug discovery
In the last decades, activity-based protein profiling (ABPP) has emerged as a powerful chemical tool that may aid the ever-challenging drug discovery process.
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Discovery of metastasis promoting candidate drug targets
Discovery of metastasis promoting candidate drug targets