1,675 search results for “predictive modeling” in the Public website
-
Champion in headwind and predictions
It is a stormy Sunday afternoon, with gusts of a whopping 110 kilometres per hour. Chemist Teun Sweere defies the enormous headwind on his city bike and wins the NK Headwind cycling after 22,5 minutes. A new highlight follows six months later: his PhD defence (14 June).
-
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
-
Development of a Dynamic Substance Stock Model
Making a dynamic substance stock model in order to conduct scenario analyses and make forecasts.
-
Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
-
Statistics when your models are wrong
Peter Grunwald
-
Towards a comprehensive and predictive theory of catalysis based on simple structure-activity relations
Can we tailor catalysts at the atomic scale by means of high-school chemistry and geometry rules?
-
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.
-
Anisotropy in cell mechanics
Mechanical interactions between cells and their environment play an important role in many biological processes.
-
Imaging complex model catalysts in action
From surface science towards industrial practice using high-pressure scanning tunneling microscopy.
-
Global fitness maximising approaches to evaluate the trade-offs involved in the evergreen and deciduous conundrum
Which traits and/or trade-offs determine benefits of being deciduous or evergreen?
-
Preparing MFDEs for the Modelling World
Classical mathematical models treat space and time as a continuum, while it is sometimes more useful to regard it as granular. Hupkes is studying what this means for a number of important patterns that are often found in computer calculations and in nature.
- Stem Cell Technology for Microphysiological Modeling
-
The evolution and plasticity of life histories upon variation in nutrition: on aging focused integrative approach
Promotores: Prof.dr. P.M. Brakefield, Prof.dr. B.J. Zwaan (Wageningen Universiteit)
-
A psycholinguistic model for phonological development
In this research project child language phonology is studied from the perspective of a psycholinguistic speech-production model and this model is in turn studied from the perspective of developmental phonology.
-
epidemiologic methods on findings in studies of causal effects and prediction modelling
PhD defence
-
From patient’s perspective to predictive modeling: cerebrovascular events and chronic kidney disease
PhD defence
-
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.
-
Modeling energy conversion dynamics at interfaces
Chemical reactions go hand-in-hand with an energy exchange with the environment in which they take place. Surfaces offer a variety of energy dissipation channels, constituted by the nuclear and electronic degrees of freedom of the atoms at the interface. Aiming at an improved future harvesting of energy,…
-
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.
-
Van der Meer, Janssen & Louwerse, ‘The predictive value of polls in a fragmented multi-party system’
Political scientists Tom van der Meer, Lisa Janssen (University of Amsterdam) and Tom Louwerse (Leiden University) analyse polls presented by the main polling agencies in the Netherlands, as well as micro-level panel data. They reach three main conclusions. First, vote intention polls in the Netherlands…
-
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.
-
PKPD and disease modelling in therapy development for amyotrophic lateral sclerosis (ALS)
We aim to gain a better understanding of the natural disease progression of ALS in order to improve clinical trial design and analysis and to support drug discovery and clinical development of new drugs.
-
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.
-
Predicted microplastic uptake through trophic transfer by the short-beaked common dolphin and common bottlenose dolphin
In this study, Tessa Dool and Thijs Bosker estimate the microplastic uptake of two odontocetes in the Mediterranean Sea and the Norteast Atlantic.
-
Personalised sarcoma care: Leiden mathematicians develop a prediction app
The DASPO-group for data analysis and survival in personalized sarcoma at the Mathematical Institute has developed an app that provides personalised predictions for patients suffering from soft tissue sarcomas. Due to the aggressive nature of such tumors, the prognosis for such patients is poor, even…
-
Karsten Lambers appointed as Professor of Digital and Computational Archaeology
In January, Dr Karsten Lambers was appointed as Professor of Digital and Computational Archaeology at Leiden University's Faculty of Archaeology. With his extensive background in both archaeological research and computational sciences, the installation of Professor Lambers further strengthens this discipline…
-
Bayesian uncertainty quantication in complex models
The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.
-
The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
-
Modeling interstellar bubbles: near and far
Promotor: Prof. dr. A.G.G.M. Tielens
-
Computational modeling of mycobacterium infection and innate immune reponse in zebrafish
Promotor: Prof.dr. J.N. Kok
-
Circular Economy Modelling for Climate Change Mitigation (CIRCOMOD)
How might we include circularity into the models often used in IPCC reporting (in technical language, how can IAMs, dMFA models and CGE models be integrated?) What are possible futures for global resource use and what are the consequences for greenhouse gas emissions in these scenarios?
-
New collaboration aims to predict cancer survival
Predicting cancer survival with machine learning, that is the aim of a new collaboration between the Mathematical Institute, the European Organisation for Research and Treatment of Cancer (EORTC) in Brussels and Leiden University Medical Center. The focus of this project is to characterise the model…
-
Early intervention and treatment prediction in childhood specific phobias: Combining one-session-treatment with app-based technology
Can a newly developed, app-based, personalized maintenance program enhance the effectiveness of the exposure-based one-session-treatment for children with a specific phobia?
-
Toward Democratic Schools: The prediction of democratic interaction of stakeholders in Vietnamese secondary schools
Although many studies have addressed democracy in education around the world, so far research on democratic education in the context of communist society has been scarce. In the current study, we aim to clarify the concept of democratic value and its manifestation in Vietnam’s schools. In addition,…
-
Pharmacometabolomics; prediction of system-wide multi-biomarker drug response
The lack of success of new CNS drugs in clinical development is in part due to the complexity of the CNS, unexpected side effects, difficulties for drugs to penetrate the brain, but also by the lack of biomarkers.
-
The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander
-
Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
-
Control theory methods for quantitative systems pharmacology models
Following their application to system biological models, control theory techniques have further potential to aid in the understanding and application of quantitative systems pharmacology models.
-
FishForPharma: Training network on zebrafish infection models for pharmaceutical screens
How can zebrafish models be used to gain a better understanding of host-pathogen interaction mechanisms and to screen new drugs for infectious disease treatment?
-
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.
-
Development of innovative engineered models for viral diseases
A main goal of MSBB research is to address the major bottle-necks in combatting viral diseases: the lack of experimental models that are representative of human pathology and are cost effective and versatile. Viral diseases such as those that cause viral hemorrhagic syndromes or severe acute respiratory…
-
Highly sensitive analysis using 3D cell culture model
A research goal for ABS is to develop miniaturized platforms for research in (stem)cell, in-vitro systems and application in clinical and preventive research. Combined with the high throughput, this development will make it possible to study the dynamics of pathogenesis in human and cellular models…
-
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’.
-
Twitter use helps predict flooding
Heavy rainfall can cause streets to flood and basements and tunnels to overflow. Jan van Rijn investigated, together with Christiaan Lamers (formerly of Leiden University) and Ton Beenen (STOWA, RIONED), how data science can help to predict which areas are at greater risk of flooding. Van Rijn presented…
-
Computational modeling of tumor growth and metastasis and the role of the immune system in tumor destruction
In this project, we aim to obtain a quantitative understanding of the role of the immune system in tumor regression, of the role of tumor cell heterogeneity in cancer growth and of tumor cell migration properties.
-
Minipigs as an Animal Model for Dermal Vaccine Delivery
Appropriate animal models for intradermal vaccine delivery are scarce. Given the high similarity of their skin anatomy to that of humans, minipigs may be a suitable model for dermal vaccine delivery.
-
A recipe for desert: analysis of an extended Klausmeier model
Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk
-
Quantitative pharmacological modelling for optimizing treatment of sepsis
Sepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global healthcare systems. Bacterial infections are the primary cause of sepsis, but the growing prevalence of antimicrobial…
-
‘Ūd Taqsīm as a Model of Pre-Composition
In this research project 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).