1,221 search results for “predictive modeling” in the Public website
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Stadium wave in the nerves: a new mathematical model
Electrical signals travel like a wave through our neural pathways. The mathematical models for these movements could not yet properly describe all the biological properties of the nerves. PhD student Willem Schouten-Straatman changed this by improving the existing models. ‘I hope that one day we will…
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Zebrafish: a new engraft model to study Ewing sarcoma progression
Can zebrafish provide a fast, sensitive in vivo vertebrate model for identifying novel mechanisms of Ewing sarcoma progression and for development of new anticancer compounds in a time- and cost-effective manner?
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Reconstruction and Computational Modelling for Inherited Metabolic Diseases
Accelerating the diagnosis and personalising the management of inherited metabolic diseases.
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The Chilean Model of Pension Reform as a Lopsided Exportschlager
In this paper, the authors outline how the UK and USA adopt the Chilean pension model without proper attribution, potentially distorting the lessons.
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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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Towards a system-based pharmacology approach to predict developmental changes in renal drug clearance in children
Promotores: Prof.dr. C.A.J. Knibbe, Prof.dr. M. Danhof, Prof.dr. K. Allegaert (Leuven)
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Mark de Rooij
Faculteit der Sociale Wetenschappen
rooijm@fsw.leidenuniv.nl | +31 71 527 4102
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Martha Dellar
Science
m.e.dellar@cml.leidenuniv.nl | +31 71 527 2727
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Liesbeth de Lange wins Lewis B. Sheiner Career Prize
Pharmacologist Liesbeth de Lange has won the Lewis B. Sheiner Lecturer Award from the International Society of Pharmacometrics (ISoP). As Professor of Predictive Pharmacology she is working, among other things, on a mathematical model that can predict drug concentrations in the brain. On the occasion…
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Placing Changes
What does site patterning reveal about the social landscape dynamics across the historical divide?
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Duality, bosonic particle systems and some exactly solvable models of non-equilibrium
Promotor: F.H.J. Redig, Co-Promotor: W.T.F. den Hollander
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Insights from modeling metabolism and amoeboid cell motility in the immune system
This thesis focuses on two processes involved in fighting infections: metabolism and immune cell motility and navigation.
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The power of biotic ligand models : site-specific impact of metals on aquatic communities
Promotor: Prof.dr. G.R. de Snoo, Co-promotores: Dr. ing. M.G. Vijver, J.P.M. Vink
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Interactive models: Matthijs van Leeuwen receives NWO TOP grant
Matthijs van Leeuwen of the Leiden Institute of Advanced Computer Science develops methods to make computer models interactive. With interactive models, experts can combine information from raw data with their own knowledge to make predictions more accurate. 'In this way we hope to build models that…
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Can we predict the future of ecosystems throughout the world?
To what extent does human intervention influence the world’s biodiversity? And can we predict how biodiversity and ecosystems will change in the coming years? Inaugural lecture by Peter van Bodegom, Professor of Conservation Biology, on 8 May.
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Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading
The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…
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Modelling the role of mycorrhizal associations in soil carbon cycling: insights from global analyses of mycorrhizal vegetation
In this PhD study, I aim to deepen our understanding of the influence of major mycorrhizal types, namely arbuscular mycorrhizae (AM) and ectomycorrhizae (EM), on the global soil carbon cycle and their potential distribution changes under future environmental shifts.
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Taking Place: Parrhesiastic Theater as a model for artistic practice
This research project adresses the question how local and traditional European forms of parrhesiastic theater— events, actions, and performances staged by characters who courageously speak their minds through scenes of excess and laughter, that take place in public view and incite the spectator’s agency…
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Cholesterol metabolism in mouse models of atherosclerosis and adrenal steroidogenesis
Cholesterol influences many pathways, including serving as precursor for adrenal steroidogenesis. Imbalance of cholesterol levels has been implicated in several diseases including cardiovascular diseases and its underlying pathology, atherosclerosis.
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Vision
The Pharmacy research group focusses on the development of predictive models to improve clinical drug efficacy and safety. We work on clinical problems that require further mechanistic understanding and strive for ultimate benefit to patients.
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Machine learning predicts preferences
Cláudio de Sá predicted the preferences of people using rankings. He adjusted ‘classical’ machine learning approaches, making them suitable for predicting preferences. His work can be applied in the prediction of election results. PhD defence on 16 December.
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New resource for the modelling community
The Repository from the Drug Disease Model Resources (DDMoRe) consortium provides a home to a collection of computational models of disease and drug action that have been used in pharmaceutical and/or academic research. This publically available open-access resource will make it easier for researchers…
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Using a practical teaching model by beginning teachers learning to design lessons.
Beginning teachers often experience difficulties making activating lessons. This study investigates how and if the practical teaching model can offer them a hand in learning to design lessons.
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Omics data integration with genome-scale modelling of dopaminergic neuronal metabolism
Parkinson's disease is the second most common neurodegenerative disease in the world. One of its symptoms is the loss of dopaminergic neurons in the substantia nigra pars compacta.
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In vitro model systems for studying the impact of organic chemicals on the skin barrier lipids
This paper describes two synthetic lipid models designed to replace human stratum corneum (SC) in studies of the impact of volatile organic chemicals on the molecular organization of the skin barrier lipids.
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Nonparametric Bayes for high-dimensional models: contraction, credible sets, computations
Nonparametric Bayes for high-dimensional models: contraction, credible sets, computations
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Constructions Emerging: A Usage-Based Model of The Acquisition of Grammar
This dissertation is concerned with the development of grammar. Starting from a usage-based perspective, which holds that children use domain-general learning mechanisms to acquire the grammatical patterns of their mother tongue, Beekhuizen shows how to operationalize various concepts from this tradition…
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Modelling phonologization: Vowel reduction and epenthesis in Lunigiana dialects
This dissertation provides a formal description of the relationship between diatopic/diachronic micro-variation and phonologization through analysis of the phonetic/phonological properties of unstressed vowel reduction and vowel insertion in two Northern Italian dialects.
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Néron models in high dimension: nodal curves, Jacobians and tame base change
We describe certain birational modifications of nodal relative curves over a regular base of arbitrary dimension.
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
M. Danhof, Co-promotor: O.E. Della Pasqua
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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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Assessor-Centered Translation Quality Assessment: A Theoretical Model and a Case Study
Behrouz Karoubi defended his thesis on 15 June 2016
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Development of novel anti-cancer strategies utilizing the zebrafish xenograft model
In this thesis, we will utilize embryonic zebrafish tumour models to understand the interaction between engrafted human cancer cells and macrophages from the host, test drug administration modalities and anti-cancer efficacies of newly-developed PDT and PACT compounds, and test a light-triggered liposomal…
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An ex vivo human skin model for studying skin barrier repair
In the studies described in this study, we introduce a novel ex vivo human skin barrier repair model. To develop this, we removed the upper layer of the skin, the stratum corneum (SC) by a reproducible cyanoacrylate stripping technique.
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Development of a Transgenic Mouse Model to Study the Immunogenicity of Recombinant Human Insulin
Mouse models are commonly used to assess the immunogenicity of therapeutic proteins and to investigate the immunological processes leading to antidrug antibodies. The aim of this work was to develop a transgenic (TG) Balb/c mouse model for evaluating the immunogenicity of recombinant human insulin (insulin)…
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Modeling interactions to unravel biomarkers for disease progression and treatment response
The aim of this project is to explore the use of statistical interaction models to quantify cross-omics and omics-drug interactions in large-scale clinical and experimental datasets
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Inventing anchors? The function of ‘Greek models’ within the process of innovation in Early Roman Drama
To what end and how does Plautus constantly underline the Helleni(sti)c provenance of his art? How does this aspect relate the author’s originality?
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of targeted nanoparticle-mediated drug delivery using the zebrafish model
Exploring the mechanism of targeted nanoparticle-mediated drug delivery using the zebrafish model
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Impact assessment modelling of matter-less stressors in the context of Life Cycle Assessment
Promotores: Prof.dr. G.R. de Snoo & Dr. R. Heijungs
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Lipid model membrane systems as a tool for unraveling the underlying factors for skin barrier dysfunction
Barrier function is the natural role of the skin. The lipid matrix present in the outermost layer of the skin, the stratum corneum is important for this function.
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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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‘Ūd Taqsīm as a Model of Pre-Composition
In this research project Nizar Rohana analyzes and reflects on taqsīm recordings by two leading figures of ‘ūd playing who were pillars of modern Arabic music, namely the Egyptians Muḥammad al-Qaṣabjī (1898-1964) and Riyāḍ al-Sunbāṭī (1906-1981).
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.
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Unravelling cell fate decisions through single cell methods and mathematical models
Despite being the object of intense study, embryonic development has been difficult to model due to a number of reasons. First, complex tissues can be comprised of many cell types, of which we probably only know a subset.
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PhD: Modeling the mechanical regulation of plant development and regeneration (1.0 FTE)
Science, Mathematical Institute (MI)
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Postdoc Three-dimensional simulation models of plant tissue mechanobiology (1.0 FTE for three years)
Science, Mathematical Institute (MI)
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underlying inflammation and infection control: insights from the zebrafish model
This thesis focuses on the role of chemokine receptors CXCR3 and CCR2 in the inflammatory process and infection control using the zebrafish model.
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Beyond the Born-Oppenheimer Static Surface Model for Molecule- Surface Reactions
Several techniques are explored for going beyond the born-oppenheimer static surface model for molecule-surface reactions.
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Beth Lloyd
Faculteit der Sociale Wetenschappen
b.lloyd@fsw.leidenuniv.nl | +31 71 527 2727
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Discovering the preference hypervolume: an interactive model for real world computational co-creativity
In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.