2,269 search results for “computational modeling” in the Public website
-
Computational modeling of angiogenesis : from matrix invasion to lumen formation
Promotor: Roeland M.H. Merks
-
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 candidate, Computational modelling for drug safety prediction
Science, Leiden Academic Centre for Drug Research (LACDR)
-
PhD candidate, Computational modelling for drug safety prediction
Science, Leiden Academic Centre for Drug Research (LACDR)
-
Computational modeling of mycobacterium infection and innate immune reponse in zebrafish
Promotor: Prof.dr. J.N. Kok
-
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.
-
Computational electrocatalysis
This dissertation focused on computational methods based on first principles calculations using the Density Functional Theory (DFT) framework. Emphasis was laid on affordable methods that can provide a tradeoff between computational expense and accuracy.
-
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.
-
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.
- Centre for Computational Life Sciences
-
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.
-
Postdoc in Cognitive and Computational Neuroscience
Social and Behavioural Sciences
-
Bioinformatics Data analytics Computational Biology
LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.
-
pharmacokinetics-pharmacodynamics in zebrafish: integration of experimental and computational methods
The zebrafish is a promising vertebrate model organism in early drug discovery and development.
-
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…
-
Proteins in harmony: Tuning selectivity in early drug discovery
This thesis describes the importance of being able to control the selectivity of potential drug candidates.
-
A computational study of structural and excitonic properties of chlorosomes
The long-held desire - to link structure directly to function and to explain molecular mechanisms based on basic chemical or physical principles - is finally coming closer, satisfying not only our scientific curiosity but also offering new solutions to the many challenges in the field of health, energy…
-
The use of computational toxicology in hazard assessment of engineered nanomaterials
Assessing the risks of engineered nanomaterials (ENMs) solely on the basis of experimental assays is time-consuming, resource intensive, and constrained by ethical considerations (such as the principles of the 3Rs of animal testing). The adoption of computational toxicology in this field is a high p…
-
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.
-
PhD candidate || Modelling plasma surface interactions with machine learning
Science, Leiden Institute of Chemistry (LIC)
-
Advances in computational methods for Quantum Field Theory calculations
In this work we describe three methods to improve the performance of Quantum Field Theory calculations.
-
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.
-
Postdoc in modelling food system dynamics
Science, Institute of Environmental Sciences (CML)
-
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)
-
Self-regulation models
... which builds on self-regulation and stress-regulation theories and considers the modification of cognitions as a mediator of therapeutic change.
-
Synthetic, Physical and Computational Chemistry of Propeller-shaped Polycyclic Aromatic Hydrocarbons
This thesis systematically studies the physicochemical properties of non-planar, propeller-shaped, polycyclic aromatic hydrocarbons. The synthesis of several so-called propellerenes is described on a gram scale, using optimized procedures aimed at using less hazardous reagents and reducing the amount…
-
regular and deuterated water in space: a combined laboratory and computational study
Promotor: Prof.dr. H.V.J. Linnartz
-
PHD candidate, Mathematical modeling for prediction of liver toxicity
Science, Leiden Academic Centre for Drug Research (LACDR)
-
Computational Modeling of Cellular Dynamics in Tumor Cell Migration
PhD defence
-
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.
-
Using mouse models to uncover genes driving tumorigenesis and therapy resistance in human breast cancer
To improve cancer treatments, personalized medicine approaches have aimed to identify exactly which mutations are driving tumor development in a given patient and specifically target these mutations using precision therapies.
-
Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
-
Model schilderen met diverse technieken
Arts and leisure, Arts and leisure
-
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.
-
Computational, biochemical, and NMR-driven structural studies on histone variant H2A.B
Nature uses a special class of histone proteins, histone variants, to modulate the properties of chromatin at defined genomic locations.
-
Nieuwe techniek om bloedvaten te bestuderen
Sonja Boas ontwikkelde nieuwe technieken om het groeiproces van bloedvaten op computationele wijze te bestuderen. De resultaten van haar onderzoek geven een beter begrip van mechanismen in bloedvatgroei en dat is relevant voor de ontwikkeling van medische therapieën. Promotie op dinsdag 22 december…
-
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
-
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.
-
High-throughput simulation studies of angiogenesis - Reverse engineering the role of tip cells and pericytes in vascular development
Promotor: Prof.dr. R.M.H. Merks
-
Postdoc on the Anthropology of AI in Islam: computational and social network analysis
Social and Behavioural Sciences, Cultural Anthropology and Development Sociology
-
Impact assessment modelling of matter-less stressors in the context of Life Cycle Assessment
Promotoren: Prof.dr. G.R. de Snoo en Dr. R. Heijungs
-
Development of a Dynamic Substance Stock Model
Making a dynamic substance stock model in order to conduct scenario analyses and make forecasts.
-
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.
-
Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
-
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
-
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.
-
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.