1,273 search results for “predictive modeling” in the Public website
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Suiting Ding
Science
s.t.ding@cml.leidenuniv.nl | +31 71 527 5615
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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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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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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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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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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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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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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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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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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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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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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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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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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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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
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Learning from small samples
Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…
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Visualizing cityscapes of Classical antiquity
This study aims to make a practical contribution to a new understanding and use of 3D reconstructions, namely as ‘laboratories’ to test hypotheses and visualize, evaluate and discuss alternative interpretations.
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Winner of the Model Gamification Contest
Dave R. Stikkolorum, Michel R.V. Chaudron, Oswald de Bruin won the Best Paper Award of the Model Gamification Contest at the ACM/IEEE Models 2012 Conference for their paper: The Art Of Software Design, a Video Game for Learning Design Principles.
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New flowchart to eliminate Universe models
Cosmologists have many possible models for the Universe, of which only one can be true. A new flowchart will eliminate some of them when two specific Universe features are accurately measured. Publication in Physical Review D on 7 November.
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BEAT-COVID team discovers sugar-coated antibodies that predict disease progression
At the start of the COVID-19 pandemic, researchers from 15 departments at Leiden University Medical Center (LUMC) realised they could do more for patients if they joined forces. This is how the BEAT-COVID group has been able to rapidly gain knowledge about COVID-19, the role of the immune system and…
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Strings and AdS/CFT at finite density
Promotor: Prof.dr. J. Zaanen, A. Parnachev
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Bioactivity based quality control for Chinese herbal medicine
Can we establish a new quality control system for herbal medicines that is based on bioactivity rather than a few abundant chemicals?
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Neutrinos From the Milky Way
Promotor: M. de Jong, Co-Promotor: Samtleben
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Franco Donati
Science
f.donati@cml.leidenuniv.nl | +31 71 527 4571
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FOM Grant for Theoretical Model Majorana Gun
Professor Carlo Beenakker has been awarded a FOM Projectruimte subsidy to build a theoretical model of a majorana gun, a very promising instrument for quantum computers.
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A metabolomics resistance test
Can metabolomic profiling be used to predict resistance against insect herbivores in plants?