- About our group
- How to contact us
- Computational Neuroscience Projects
- Complex Systems Projects
- Past projects
- EURESIST - Project
- ICEA - Modelling goal-directed navigation of the rat
- Hippocampal oscillations
- Study of sensory systems
- Software package for complex network analysis
- Dynamics of evolving networks
- A populational model of hippocampus CA3 region slices
- Development of hippocampal place fields
- Hippocampal coding and dynamics
- Location dependent differences between somatic and dendritic IPSPs
- Olfaction and its underlying stochastic phenomena
- The role of self-excitation in the development of topographic order
- Neural and Cognitive Architectures Workshop '16
- CNS '15 Host Proposal
- IJCNN 11 Workshop
- Past events
- Minisymposium on Computational Aspects of Neurological and Psychatric Diseases
- Workshop on large scale random graphs
- Workshop on Cortico- Hippocampal dynamics: Navigation and Neuromodulation
- Joint Workshop on Neural Autonomous Robots
- Workshop on System Neuroscience
- Neuronhálózatok strukturális kérdései
- 7th Tamagawa Dynamic Brain Forum 2002
- Minisymposium on Computational Neuroscience
- Számítógepes neurológia konferencia, Problemák - Adatok - Modellek
- Budapest - Tampere Minisymposium on Computational Neurolgy
- Education / Oktatás
- Lectures and News
EURESIST - Integration of viral genomics with clinical data to predict response to anti-HIV treatment
Purpose of the project
The EuResist project aims at developing a European integrated system for clinical management of antiretroviral drug resistance. The system will provide the clinicians with a prediction of response to antiretroviral treatment in HIVpositive patients, thus helping the clinicians to choose the best drugs and drug combinations for any given HIV genetic variant. To this end a huge European integrated data set will be created, linking some of the largest existing resistance databases.
Our research group will lead the workpackage on the evaluation of the system and will take part in the statistical analysis of the database, where several approaches in multiple steps will be adopted. Based on the data available from the database, we will develop a prediction engine based on graph theoretical methods, possibly linking it to a dynamical system-based prediction model. The group will contribute to dissemination and exploitation activities.
Click on the following link to see the official homepage of the EURESIST - Integration of viral genomics with clinical data to predict response to anti-HIV treatment project.
Whom to contact?
For further information on the EURESIST project please contact Fülöp Bazsó at bazso(at)sunserv(dot)kfki(dot)hu.