103 zoekresultaten voor “prediction” in de Publieke website
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Inhibitor Selectivity: Profiling and Prediction
Less than 1 in 10 drug candidates that enter phase 1 clinical trials actually gets approved for human use.
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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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Pharmacology based toxicity assessment: towards quantitative risk prediction in humans
Promotor: Prof.dr. M. Danhof
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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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PHD candidate, Mathematical modeling for prediction of liver toxicity
Wiskunde en Natuurwetenschappen, Leiden Academic Centre for Drug Research (LACDR)
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Prediction Sets via Parametric and Nonparametric Bayes: with Applications in Pharmaceutical Industry
This thesis consists of five chapters on how to construct prediction sets for different types of data and models in a parametric or nonparametric Bayesian paradigm.
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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.
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Prediction of spatial-temporal brain drug distribution with a novel mathematical model
A novel mathematical model describes spatial-temporal drug distribution within one or more brain units, which are cubic representations of a piece of brain tissue with brain capillaries at the edges.
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Prediction of brain target site concentrations on the basis of CSF PK: impact of mechanisms of blood-to-brain transport and within brain distribution
Promotor: M. Danhof, Co-promotor: E.C.M. de Lange
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Personalised medicine for multiple outcomes: methods and application
The main objective of this thesis was to develop clinically relevant survival models for patients with high-grade soft tissue sarcoma of the extremities, in particular the development and validation of prediction models for use in clinical practice.
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Development of Quantitative Nanostructure Activity Relationship (QNAR) Models Predicting the Toxicity of Metal-based Nanoparticles to Aquatic
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…
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Elise DusseldorpFaculteit der Sociale Wetenschappen
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Inhibitor Selectivity: Profiling and Prediction
Promotie
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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LCN2 Seminar: Prediction of epidemics on networks
Lezing
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Dynamic prediction in event history analysis
Promotie
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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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On electronic signatures of topological superconductivity
Promotor: Prof.dr. C.W.J. Beenakker
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Unveiling protostellar disk formation around low-mass stars
Promotor: Prof.dr. E.F. van Dishoeck
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Advances in GPCR Modeling Evaluated by the GPCR Dock 2013 Assessment: Meeting New Challenges
Source: Structure , Volume 22, Issue 8, pp. 1120-1139 (2014)
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Prediction of long-term complications of venous thromboembolism
Promotie
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Prediction of outcomes in patients with heart failure
Promotie
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Systems diagnosis in chronic disease: prediction and evaluation
Promotie
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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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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?
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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On Multifield Inflation, Adiabaticity and the Speed of Sound of the Curvature Perturbations
Promotor: A. Achúcarro, Co-Promotor: G.A. Palma
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Systems pharmacokinetic models to the prediction of local CNS drug concentrations in human
Promotie
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Prediction Sets via Parametric and Nonparametric Bayes: with Applications in Pharmaceutical Industry
Promotie
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Prediction of adverse health outcomes in older patients visiting the Emergency Department: the APOP study
Promotie
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Prevention and prediction of venous thrombosis after knee arthroscopy or during plaster cast lower leg immobilization
Promotie
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Prediction of spatial-temporal brain drug distribution with a novel mathematical model
Promotie
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Clues from stellar catastrophes
Promotores: S.F. Portegies Zwart, E. M. Rossi
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The puzzle of protoplanetary disk masses
My work focuses on a class of astronomical objects called protoplanetary disks.
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Molecules during stellar formation and death
Promotor: Prof.dr. E. F. van Dishoeck
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First-pass and systemic metabolism of cytochrome P450 3A substrates in neonates, infants, and children
Growth and development affect the metabolism of drugs administered to neonates, infants, and children.
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Neutrinos From the Milky Way
Promotor: Prof.dr. M. de Jong
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On transport properties of Majorana fermions in superconductors: free & interacting
Majorana fermions in superconductors are the subgap quasiparticle excitations that are their own antiparticles.
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Water related adsorbates on stepped platinum surfaces
Promotor: M.T.M. Koper, Co-Promotor: L.B.F. Juurlink
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Towards predictive cardiovascular safety: a systems pharmacology approach
Promotores: Prof.dr. M. Danhof, Prof.dr. D.R. Stanski
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On the amount of sieving in factorization methods
Promotoren: R. Tijdeman, A.K. Lenstra, Co-promotor: H.J.J. te Riele
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Effects of heavy fields on inflationary cosmology
Promotor: A. Achúcarro, Co-Promotor: J.W. van Holten
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Innate immune modulation in atherosclerosis and vascular
Promotores: Prof.dr. J. Kuiper, Prof.dr. P.H.A. Quax, Co-promotor: I. Bot
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Atmospheres of hot alien Worlds
Promotor: Prof.dr. I.A.G. Snellen, C.U. Keller
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Evaluation of Different Design Space Description Methods for Analysing Combustion Engine Operation Limits
Promotor: Prof.dr. T.H.W. Bäck
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Pair configurations to molecular activity coefficients: PAC-MAC
This thesis provides an overview of the development of the Pair Configuration to Molecular Activity Coefficient (PAC-MAC) model.
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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)
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High throughput microscopy of mechanism-based reporters in druginduced liver injury
Promotor: B. van de Water
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Advanced in vitro models for studying drug induced toxicity
Promotor: B.van de Water, Co-promotor: L.S.Price
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HEPGAME
HEPGAME is a research project that combines the world’s fastest computer algebra system for High Energy Physics equations, FORM, with insights from artificial intelligence. The name combines High Energy Physics and Games.