1,630 search results for “predictive modeling” in the Public website
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distribution of free fatty acids on the mixing properties of stratum corneum model membranes
The stratum corneum (SC) plays a fundamental role in the barrier function of the skin. The SC consists of corneocytes embedded in a lipid matrix.
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Research
Research lines within the Pharmacy group:
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Xining Yang
Science
x.yang@cml.leidenuniv.nl | +31 71 527 2727
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Franz Wurm
Faculteit der Sociale Wetenschappen
f.r.wurm@fsw.leidenuniv.nl | +31 71 527 2727
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Suiting Ding
Science
s.t.ding@cml.leidenuniv.nl | +31 71 527 5615
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Zebrafish models for disease and environmental stress
We use zebrafish as a model organism to study human development and disease as well as animal welfare and environmental impact.
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Molecular mechanisms of adverse outcome and translational biomarkers
Adverse drug reactions (ADRs) remain one of the major reasons for patient mortality and (early) drug withdrawal. Currently, different in vivo and in vitro models are used to assess the toxic potential of drugs in the pre-clinical phase. Unfortunately, the predictive value of this model does not fit…
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Cells with stress: predicting drug-induced liver and kidney damage
How can we prevent drug-induced liver and kidney damage? PhD candidates Marije Niemeijer and Lukas Wijaya investigated what happens in the cells during the onset of this damage: a stress response. Both focused on a different subtopic and made some interesting discoveries.
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Drawing and predicting lines: how artificial intelligence is helping doctors
Artificial intelligence can help doctors analyse images such as MRI scans. In future it may even be able to predict how a tumour will grow. And that is badly needed to relieve the pressure on healthcare workers.
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Roy de Kleijn
Faculteit der Sociale Wetenschappen
kleijnrde@fsw.leidenuniv.nl | +31 71 527 3915
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Fenying Zang
Faculteit der Sociale Wetenschappen
f.zang@fsw.leidenuniv.nl | +31 71 527 2727
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Tales Yamamoto
Science
t.m.yamamoto@cml.leidenuniv.nl | +31 71 527 2727
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Zsuzsa Bakk
Faculteit der Sociale Wetenschappen
z.bakk@fsw.leidenuniv.nl | +31 71 527 8032
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Mariana Braz Pires
Science
m.braz.pires@cml.leidenuniv.nl | +31 71 527 2727
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Innovative online course on Modelling and Simulation in Archaeology
Simulation is a formal scientific method used to develop, compare and test hypotheses (models). In the last few decades the use of simulation has increased dramatically in virtually all scientific disciplines, but is still limited in archaeology due to the technological barrier – coding skills. Starting…
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Towards a working model of industry and higher education collaboration in enhancing engineers’ soft skills for better employability
The discussion on employability of higher education graduates has been around for several years, with more emphasis in the 21st century. Yet, universities are still challenged in the pursuit of providing work-ready graduates who can meet industry expectations.
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‘Heart rate and skin conductance predict romantic attraction’
Synchronised heart rates and skin conductance tell us that people are attracted to each other. This explains why we feel a romantic ‘click’ with some people and not with others. This is the result of research by psychologist Eliska Prochazkova from the Leiden Institute for Brain and Recognition, which…
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Five principles to preserve social trust in scientific modelling
Experts from several disciplines have raised concerns about the use of seemingly precise models to guide policies in matters as complex as the current Covid-19 pandemic. 22 scholars wrote down five principles on how to responsibly use scientific models. This comment was published in Nature on 24 June…
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Using AI to improve the Design-Make-Test cycle with Galapagos
Researchers at LED3 are working together with biopharmaceutical company Galapagos to develop software for use in early drug discovery (funded by NWO). This software is able to design molecules with several simultaneously optimized characteristics and will also take prediction reliability into consideration…
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Research projects
An overview of research projects at the Predictive Pharmacology group.
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Predicting and preventing serious COVID-19 symptoms
Scientists in Leiden are looking for signals in blood samples to predict whether patients will develop serious COVID-19 symptoms or not. Based on that knowledge, they will be able to propose targeted therapies to prevent serious symptoms. They hope to come up with the first results within the week.
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More efficient drug development with the help of computer models
The coronavirus has the world in its grip. Finding a cure has never been more important. Unfortunately, the development of new drugs for treatment of the COVID-19 disease caused by the virus and development of a vaccine are complex, lengthy, and above all costly processes. With the help of computer…
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New quantum computer design to predict molecule properties
The standard approach to build a quantum computer with Majoranas as building blocks is to convert them into qubits. However, a promising application of quantum computing—quantum chemistry—would require these qubits to be converted again into so-called fermions. Physicists from Leiden and Delft suggest…
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Quantitative biology of polar auxin transport and plant development
The availability of complete plant genome sequences together with the ever increasing amount of data on the molecular, cellular and physiological mechanisms of plant development require mathematical and computational models to obtain a complete overview of and generate new insights into the quantitative…
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Key publications
Key publications of the Computational Drug Discovery group
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Invariant manifolds and applications for functional differential equations of mixed type
Promotor: S.M. Verduyn Lunel
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Cytochrome P450 3A-mediated first-pass and systemic drug metabolism in children
From descriptive to physiological models that can predict oral absorption and elimination of CYP3A substrates across the pediatric age range.
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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.
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Elise Dusseldorp
Faculteit der Sociale Wetenschappen
elise.dusseldorp@fsw.leidenuniv.nl | +31 71 527 8046
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Huseyin Beykoylu
Faculteit der Sociale Wetenschappen
h.beykoylu@fsw.leidenuniv.nl | +31 71 527 2727
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Fewer errors in software features by using delta modelling
When new features are being written into software code, errors can easily be made. This causes bugs, which leads to software appearing later and being more expensive. Michiel Helvensteijn, a PhD student from CWI and the Leiden Institute of Advanced Computer Science, studied how to prevent these kinds…
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Key publications
Key publications of the Predictive Pharmacology group.
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PhD candidate makes predictions on production and detection of sterile neutrinos
Physicists propose the existence of sterile neutrinos that would explain three big mysteries in nature. To actually find them in particle accelerators, researchers need to know how they are produced and how they decay. PhD candidate Kyrylo Bondarenko has made predictions about this, which are currently…
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Proteochemometrics
Research question
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Drug safety Sciences
Our research in the area of safety sciences aims to increase the mechanistic understanding of cellular toxicity of drugs and, in a broader sense, chemicals.
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Oncode Accelerator
Providing each cancer patient with the right treatment remains a challenge. Oncode Accelerator aims to change this by innovating the way we develop cancer treatments, thus ensuring the patient is at the heart of the process. Leiden University, the LUMC and other partners will implement this new way…
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Predicting and preventing Covid-19: 1 million euros for corona research
How is it that some covid-19 patients are affected much worse than others? Can we predict beforehand which of them will develop critical symptoms Professor Thomas Hankemeier, together with a diverse consortium of universities, academic hospitals and industrial partners, is looking for the answers to…
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Predictive policing wins group presentation in CSM elective Governance of crime and social disorder
If you know a crime is about to occur, should you be able to prevent it before it has even happened? This was one of the questions that was posed in light of predictive policing as a form of mass surveillance during the debate in the elective Governance of Crime and Social Disorder class of the Crisis…
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SMALL Savannah : an information system for the integrated analysis of land use change in the Far North of Cameroon
Promotores: W.T. de Groot, M. Tchuenté, Co-promotor: J.P. Cheylan
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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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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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Mathematical model helps to explain the formation of spine and ribs
Mathematical biologists from Leiden have developed a model that helps to explain how the spine and vertebrae, among other things, form during embryonic development. The same process, the other way around, plays a key role in cancer metastasis. Publication in iScience.
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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Does a general ‘Lelystad model’ agreement have national potential?
The Municipality of Lelystad is using a new kind of council agreement: a general agreement that all parties are entitled to have their say on. As Professor of Constitutional Law Wim Voermans recently said on Dutch current affairs programme ‘EenVandaag’, this form of agreement would also lend itself…
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These researchers turn mathematical models into healthcare solutions
Two Leiden researchers have demonstrated how mathematics can improve our healthcare. Daniel Gomon has developed a model that contributes to the quality of care in hospitals. Marta Spreafico works on an app that helps physicians make well-informed decisions about the treatment of a certain type of cancer.…
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Kim de Jong
Faculteit der Sociale Wetenschappen
k.de.jong@fsw.leidenuniv.nl | +31 71 527 7995
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Sebastiaan Deetman
Science
s.p.deetman@cml.leidenuniv.nl | +31 71 527 5616
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Mirko Forastiere
Science
m.forastiere@cml.leidenuniv.nl | +31 71 527 2727
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Ruben Huele
Science
huele@cml.leidenuniv.nl | +31 71 527 FLEX
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Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension
Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron, Co-Promotor: P. van der Putten