1,379 zoekresultaten voor “predictive modeling” in de Publieke website
-
Towards predictive cardiovascular safety: a systems pharmacology approach
Promotores: Prof.dr. M. Danhof, Prof.dr. D.R. Stanski
-
Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
-
Predicting the future: Predictive control for astronomical adaptive optics
The field of exoplanet research is rapidly advancing through the development of new technology, observing techniques, and post-processing methods.
-
Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
-
Development of Quantitative Nanostructure Activity Relationship (QNAR) Models Predicting the Toxicity of Metal-based Nanoparticles to Aquatic Species
Describe and identify what dosimetry parameters are of importance to interpret dose-response relationships (eg., mortality, sub-lethal, growth or reproduction inhabitation, DNA damage and reactive oxygen species, etc. ) for metal-based nanoparticles? How to develop quantitative models that enable to…
-
Unraveling temporal processes using probabilistic graphical models
Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.
-
Advanced in vitro models for studying drug induced toxicity
Promotor: B.van de Water, Co-promotor: L.S.Price
-
Abstract Behavioral Specification: unifying modeling and programming
We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.
-
Computational modeling of angiogenesis : from matrix invasion to lumen formation
Promotor: Roeland M.H. Merks
-
From patient’s perspective to predictive modeling: cerebrovascular events and chronic kidney disease
Promotie
-
Biotic ligand models
Description of Biotic ligand models: making an inventory of available models & assessment of the variability of the predicted HC5 using the BLMs in different Dutch water types (2005 - 2007)
-
Computational modeling of cellular dynamics in tumor cell migration
Epithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential for developing new targeted approaches.
-
PhD Competence Model
In 2016 hebben Universitaire Medische Centra (UMC's) van Nederland de zelfevaluatie-tool ontwikkeld gebaseerd op het PhD Competence Model. Onze partners van de Universiteit Utrecht stellen een digitale versie van de tool kosteloos beschikbaar voor onze promovendi binnen de Universiteit Leiden, ook voor…
-
Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
-
Harnessing zebrafish xenograft models for ocular melanoma treatment discovery
The aim of this thesis was to develop novel treatment strategies for different types of eye melanoma utilizing zebrafish models. We first establish orthotopic and ectopic xenograft models for uveal and conjunctival melanoma by engraftment of the immortalized cells derived from these tumors into zebrafish…
-
Model schilderen met diverse technieken
Kunst en vrije tijd, Kunst en vrije tijd
-
In vivo modelling of Ewing sarcoma in zebrafish
Promotores: Prof.dr. P.C.W. Hogendoorn & Prof.dr. H.P. Spaink Co-promotor: Dr. B.E. Snaar-Jagalska
-
Modelling metastatic melanoma in zebrafish
Death in all types of melanomas is generally caused by metastasis. Uveal melanoma (UM) is the most common intraocular melanoma, there are currently no (patient-derived) animal models that faithfully recapitulate metastatic dissemination of UM.
-
Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
-
Modelling the role of cytotoxic T lymphocytes in tumour regression
Immunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system.
-
Systems pharmacokinetic models to the prediction of local CNS drug concentrations in human
Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.
-
Precision modeling of breast cancer in the CRISPR era
The molecular mechanisms that instigate a healthy cell to become malignant are fueled by (epi)genetic alterations in so-called driver genes.
-
Statistical modelling of time-varying covariates for survival data
This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.
-
Abstract delta modeling: software product lines and beyond
Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke
-
Evaluation of the zebrafish embryo as an alternative model for hepatotoxicity testing
Promotor: Prof.dr. B. van de Water, Co-promotores: L.T.M. van der Ven, A.S. Kienhuis
-
Towards a mechanistic understanding of nanoparticle behavior using zebrafish
The work described in this dissertation contributes to a better mechanistic understanding of nanoparticles in vivo. To achieve that goal, we used the zebrafish as a highly predictive pre-screening model of nanoparticles.
-
Development of a Dynamic Substance Stock Model
Making a dynamic substance stock model in order to conduct scenario analyses and make forecasts.
-
Quantitative modelling of the response of earthworms to metals
Promotor: Prof.dr. W.J.G.M. Peijnenburg
-
Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
-
On metrics and models for multiplex networks
In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.
-
Imaging complex model catalysts in action
From surface science towards industrial practice using high-pressure scanning tunneling microscopy.
-
Statistiek als je modellen niet kloppen
Peter Grunwald
-
Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)
-
Synthetic model microswimmers near walls
Synthetic microswimmers take an important place within the interdisciplinary field of active soft matter.
-
Zebrafish as vertebrate model of Gaucher disease
Lysosomal storage disorders (LSDs) are a group of orphan diseases characterized by lysosomal dysfunction or impaired lysosomal catabolism and affect collectively about 1 in 5000 live births.
-
Quantitative systems pharmacology modeling of biotherapeutics in oncology
In this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development.
-
Spatiotemporal building stock modeling for residential decarbonization in the Netherlands
Decarbonizing the building stock is critical for realizing the climate-neutral target for the Netherlands.
-
The LeiCNS-PK3.0 model development and applications: healthy-to-diseased CNS pharmacokinetic translation
Accurate prediction of the unbound drug concentration-time profile at the CNS target site is crucial for the assessment of the right drug concentration-effect relationship. PBPK models have supported the PK prediction of the CNS target sites and the translation of PK data between species and between…
-
in special populations: towards semi-physiological pharmacokinetic models
M. Danhof, Co-promotores: J. Freijer, A. Yassen
-
and tissue dynamics with cell fate decisions through computational modeling
There is a need for alternative methods to replace, reduce and refine (3R) animal experimentation. Combining experimental data from high-throughput in vitro studies with in silico modeling is a promising approach to unravel the effect of chemicals on living cells and to gain a better understanding of…
-
quantification of growth hormone secretion : application of model-informed drug development in acromegaly
Growth hormone profiles are pulsatile and highly variable between individuals, limiting the implementation of mathemathical models to quantify an individual's secretion.
- Wiskundige modellen van patroonvorming bij biologische ontwikkeling
-
Computational modeling of mycobacterium infection and innate immune reponse in zebrafish
Promotor: Prof.dr. J.N. Kok
-
Modeling interstellar bubbles: near and far
Promotor: Prof. dr. A.G.G.M. Tielens
-
Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
-
Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
-
The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander, G.Maillard
-
Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
-
Microscopy and Spectroscopy on Model Catalysts in Gas Environments
In surface science there is great effort to move from studying simple, flat model surfaces in vacuum to investigating more complex model catalysts in gas environments (in situ). This thesis gives three examples of such studies using microscopy and spectroscopy.
-
Knowledge extraction in the quantum random-oracle model
The aim of this thesis is to present novel techniques for proving cryptographic schemes secure against quantum adversaries. Most results are within the context of an idealized model called the ‘quantum random-oracle model’.