1267 search results for “damage prediction” in the Public website
-
Predictive pharmacology
The aim of this research area is to be able to predict human drug response on the basis of mathematical models that are developed using preclinical experiments and prior knowledge.
-
Milan Koch
Science
-
Predicting dementia
In the future, physicians may be able to identify dementia much earlier than they can today because a computer algorithm will be able to predict from brain scans how our memory is going to develop.
-
Predictive Pharmacology
Prof. Elizabeth de Lange is concerned with the allocation of resources for the conduct of science towards the goal of best serving the public interest. Also, while she underscores that there is still the need for using animals in drug research, she is concerned about this use, and advocates the use…
-
Prediction of binding kinetics
Supervisor: Gerard van Westen
-
Predicting the future: Predictive control for astronomical adaptive optics
The field of exoplanet research is rapidly advancing through the development of new technology, observing techniques, and post-processing methods.
-
Archaeological Prediction and Risk Management
Alternatives to current practice
-
Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
-
CIMPLO – Maintenance prediction for industries
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.
-
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…
-
Proteochemometric modelling coupled to in silico target prediction
An integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.
-
Inhibitor Selectivity: Profiling and Prediction
Less than 1 in 10 drug candidates that enter phase 1 clinical trials actually gets approved for human use.
-
Civil Liability for Damage caused by Global Navigation Satellite System
On 17 December 2018, Dejian Kong defended his thesis 'Civil Liability for Damage caused by Global Navigation Satellite System'. The doctoral research was supervised by Prof. dr. P.M.J. Mendes de Leon.
-
of Quantitative Nanostructure Activity Relationship (QNAR) Models Predicting the Toxicity of Metal-based Nanoparticles to Aquatic Species
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…
-
From Descriptive to Predictive Pharmacology in Children using Semi-Physiological population modelling
An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.
-
Case studies in archaeological predictive modelling
ASLU 14
-
Resistance to PARP inhibition by DNA damage response alterations in BRCA1/2-deficient tumors
Inactivating mutations in BRCA1 or BRCA2 genes predispose to several types of cancer.
-
Predictive Modelling for Archaeological Heritage Management
A research agenda
-
Strategic research into and development of best practice for, predictive modelling on behalf of Dutch Cultural Resource Management
Are predictive archaeological maps a reliable tool to play an important role in the spatial planning? One of the goals of this project was to develop best practices for the production and application of the models.
-
Towards predictive cardiovascular safety: a systems pharmacology approach
Promotores: Prof.dr. M. Danhof, Prof.dr. D.R. Stanski
-
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).
-
Predicting alcohol use disorder through machine learning
How to come to valid risk stratification of alcohol use disorder?
-
Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
-
Systems diagnosis in chronic disease: prediction and evaluation
Promotor: J. van der Greef, T. Hankemeier; Co-promotor: H.A. van Wietmarschen
-
Pharmacology based toxicity assessment: towards quantitative risk prediction in humans
Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua
-
PHD candidate, Mathematical modeling for prediction of liver toxicity
Science, Leiden Academic Centre for Drug Research (LACDR)
-
A community effort to assess and improve drug sensitivity prediction algorithms
Source: Nature Biotechnology, Volume 2014, Issue June (2014)
-
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.
-
Prediction of human gut (colon cancer) target site concentrations and PKPD relationships
The advanced insights obtained for the CNS PBPK model development are currently used to develop advanced mathematical models for drug distribution prediction in other body tissues protected by barriers, such as the gut. The gut PBPK model will be linked to drug effects for treatment of colon cancer.
-
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.
-
Prediction of human (CNS) target site concentrations in health and disease
Prediction of human (CNS) target site concentrations in health and disease In the vision of Prof. de Lange we will only be able to predict human (central nervous system, CNS) target site concentrations and effects if we perform systematic, condition-dependent, integrative, and strictly quantitative…
-
Prediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling
Source: J Cheminform, Volume 7, Issue 1 (2015)
-
A community computational challenge to predict the activity of pairs of compounds
Source: Nat Biotechnol, Volume 32, Issue 12, pp. 1213-22 (2014)
-
Co-benefits & Co-damages of environmental policies related to climate change and long-range transboundary air pollution
Using the principles of Industrial Ecology in Environmental Policy making in two cases: transition to a hydrogen economy and chlorinated compounds.
-
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?
-
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.
-
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?
-
Thijs Beumers
Faculteit Rechtsgeleerdheid
-
From descriptive to predictive pharmacology in children using semi-physiological population modelling: application to hepatic metabolism
Clearance is the most important pharmacokinetic parameter for drug dose selection. Pharmacokinetic information is typically first available in the adult population, and in general only limited pharmacokinetic data are available in children when drugs enter into the market. It is therefore of the utmost…
-
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.
-
Predictive value of semi-physiological models for clearance of renally excreted drugs across the paediatric age range
The kidneys play a major role in the elimination of drugs. In children, the exact age-related physiological changes underlying kidney function remain largely unknown.
-
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,…
-
Damaged seaweed can recover
Seaweed, which is vital for marine life, is disappearing throughout the world at an alarming rate. Different currents and wave patterns can bring about recovery, but more research is needed. This is the conclusion of Achmad Adhitya. His PhD defence has a political edge because of his proposition and…
-
Machine learning predicts preferences
Cláudio de Sá predicted the preferences of people using rankings. He adjusted ‘classical’ machine learning approaches, making them suitable for predicting preferences. His work can be applied in the prediction of election results. PhD defence on 16 December.
-
Towards a system-based pharmacology approach to predict developmental changes in renal drug clearance in children
Promotores: Prof.dr. C.A.J. Knibbe, Prof.dr. M. Danhof, Prof.dr. K. Allegaert (Leuven)
-
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: Prof.dr. M. Danhof, Co-promotor: E.C.M. de Lange
-
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.
-
‘How much damage has Palmyra actually suffered?'
Peter Akkermans, Professor of Archaeology of the Middle East, cannot say for certain how much damage the destruction by IS has caused in Palmyra.
-
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).
-
Cathodic corrosion: devastating but predictable
An indian stepwell on a nanoscale. That is what postdoc Nakkiran Arulmozhi calls the pattern he saw when he corroded a special kind of platinum crystal. The unique images show the destructiveness of the process, but also show how predictable it is.