1,594 search results for “predictive modeling” in the Public website
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Predicting crime in dark web forum networks
In this project, we use social network analysis to analyze the behavior of users in online forums and associated marketplaces over time.
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Pharmacology based toxicity assessment: towards quantitative risk prediction in humans
Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua
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in special populations: towards semi-physiological pharmacokinetic models
Promotor: M. Danhof, Co-promotores: J. Freijer, A. Yassen
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Computational modeling of angiogenesis: from matrix invasion to lumen formation
Promotor: Roeland M.H. Merks
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Empirical Bayes applications in biomedical high-dimensional prediction
The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.
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Synthetic model microswimmers near walls
Synthetic microswimmers take an important place within the interdisciplinary field of active soft matter.
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Development of Generalized Squared Distance Logistic Model (GSDLM).
The objective of this project is the development of a new psychometric model, called the Generalized Squared Distance Logistic Model (GSDLM). This model is an evolution of older psychometric approaches (such as PARELLA, GHCM, and GGUM) and the Gaussian Ordination Models (GOMs) used in environmental…
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PRIME – Predicting, Interdicting and Mitigating Extremism
Research goal: To support the design of technologies (counter-measures and communication measures) for the prevention, interdiction and mitigation of lone actor extremist events (LOEEs), which are hard to anticipate, yet can be highly damaging to local and national communities and therefore must be…
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Predicting alcohol use disorder through machine learning
How to come to valid risk stratification of alcohol use disorder?
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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.
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A community effort to assess and improve drug sensitivity prediction algorithms
Source: Nature Biotechnology, Volume 2014, Issue June (2014)
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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.
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Predicting early Alzheimer's disease stage in human
A new research line is the development of liquid biopsy fingerprints to predict early Alzheimer’s disease (AD) stage in human in readily accessible body fluids in human (in collaboration with: Dr. Geert-Jan Groeneveld, CHDR; Prof. Elga de Vries, Free University Medical Center; and others).
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Systems diagnosis in chronic disease: prediction and evaluation
Promotor: J. van der Greef, T. Hankemeier; Co-promotor: H.A. van Wietmarschen
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Improving survival prediction models for liver transplantation candidates
PhD defence
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Minimal structure modeling
Existing work in probabilistic language modeling can be mostly divided into two categories:
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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.
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Systems Modelling Lab (SML)
Mathematical models of software systems enable characterizations, abstractions, simulations, and analysis of complex software during its development.
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Global Scenarios of Environmental Impacts with Structural Economic Models
To limit the effects of climate change, global average temperature since pre-industrial measurements are to be kept well below 2 °C preferably even at 1.5 °C.
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National identity predicts public health support during a global pandemic
Honorata Mazepus and Jaroslaw Kantorowicz are assistant professors at the Institute of Security and Global Affairs. Mazepus and Kantorowicz are one of the authors of this article in Nature on the role of national identity on public health support during global pandemics.
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PROPER: ‘Near-patient’ prostate cancer models for the assessment of disease prognosis and therapy
How to identify patients at risk of developing devastating, metastatic disease and facilitate the development of personalised treatment for prostate cancer patients?
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Agent Based Modelling for Archaeologists (ABMA)
The Agent Based Modelling for Archaeologists (ABMA) project is dedicated to developing Open Educational Resources (OERs) and accompanying materials for agent-based modelling (ABM) in Archaeology.
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Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
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PhD Competence Model
In 2016, Dutch University Medical Centres (UMCs) developed the self-evaluation tool based on the PhD Competence Model. Our partners at Utrecht University are making a digital version of the tool available free of charge for our PhD candidates at Leiden University, including for candidates who are not…
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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…
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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
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Bart Custers: 'AI can predict rulings, but beware of Kafka'
The work of judges can also be done by AI systems. These systems can formulate an objective proposal for a ruling. But such proposal should always be checked by a judge, says Bart Custers.
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Model painting with diverse techniques
Arts and leisure, Arts and leisure
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
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Do we have a standard model of cosmology?
Lecture, Oort lecture
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Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
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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.
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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.
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Development of a Kidney-on-a-Chip Model for Compound Screening and Transport Studies
Pharmaceutical companies, governments and the general public have become increasingly aware that animal models used in drug testing lack vital aspects to serve as an accurate representation of human biology. As models of the human body should become more physiologically relevant, animal models no longer…
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Applied Psychometric and Sociometric Modeling
This research team is concerned with the measurement and modelling of behaviour, cognition, and unobserved traits (e.g., latent variables, missing data). Central aims include the distillation of a complex set of features into lower-dimensional representations (e.g., factor analysis, IRT), determining…
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yet? Advances in anytime-valid methods for hypothesis testing and prediction
Statistical considerations guide the design and implementation of the experiments that scientists perform. For instance, in a clinical trial about a the efficacy of a treatment, its effect in a certain minimum amount of patients has to be observed in order to make confident assertions about the efficacy…
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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.
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Zebrafish embryos and larvae as a complementary model for behavioural research
Promotor: Prof.dr. M.K. Richardson
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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.
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‘Scientists should be careful when interpreting results of AI models’
Anthropologist Rodrigo Ochigame studies how AI is changing the practice of scientific research. From astrophysics to mathematics to climate science, they find that the adoption of new AI models is raising questions about what counts as reliable scientific evidence.
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A community computational challenge to predict the activity of pairs of compounds
Source: Nat Biotechnol, Volume 32, Issue 12, pp. 1213-22 (2014)
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Mathematical modeling of cellular stress pathways for mechanistic understanding of chemical-induced liver injury
Cellular stress response pathways are activated upon exposure to chemicals and help organisms deal with various molecular dangers (e.g. oxidative stress). When these pathways become hyper-activated an adverse response takes place and cells die, which may lead to organism-level toxicity such as drug-induced…
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Abstract delta modeling: software product lines and beyond
Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke
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Modelling the interactions of advanced micro- and nanoparticles with novel entities
Novel entities may pose risks to humans and the environment. The small particle size and relatively large surface area of micro- and nanoparticles (MNPs) make them capable of adsorbing other novel entities, leading to the formation of aggregated contamination.
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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
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Mathematical analysis of systems pharmacology models
Systems pharmacology aims to apply techniques from systems biology to pharmacological models.
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Anisotropy in cell mechanics
Mechanical interactions between cells and their environment play an important role in many biological processes.
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Development of a Dynamic Substance Stock Model
Making a dynamic substance stock model in order to conduct scenario analyses and make forecasts.
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Statistics when your models are wrong
Peter Grunwald