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Content archived on 2024-06-25

ViroLab: A virtual laboratory for decision support in viral diseases treatment

Project description

Integrated biomedical information for better health

We propose to develop a Virtual Laboratory for Infectious Diseases that facilitates medical knowledge discovery and decision support for e.g. HIV drug resistance. Large, high quality, clinical and patient databases have become available which can be used to relate genotype to drug-susceptibility phenotype. The relevant data has two main characteristics: it spans all temporal and spatial scales from the genome up to the clinical data; it is inherently distributed over various sources (virological-, clinical- and drugs-databases) that change dynamically over time. Using a Grid-based service oriented architecture, we `vertically¿ integrate the biomedical information from viruses (proteins and mutations), patients (e.g. viral load) and literature (drug resistance experiments), resulting in a rule-based decision support system for drug ranking. The Virtual Laboratory supports tools for statistical analysis, visualization, modeling and simulation, to predict the temporal virological and immunological response of viruses with complex mutation patterns to drug therapy. The Virtual Laboratory provides the medical doctors with a decision support system to rank drugs targeted at patients. It provides the virologists with an advanced environment to study trends on an individual, population and epidemiological level. By virtualizing the hardware, compute infrastructure, and databases, the virtual laboratory is a user friendly environment, with tailored workflow templates to harness and automate such diverse tasks as data archiving, data integration, data mining and analysis, and modeling and simulation. HIV drug resistance is one of the few areas in medicine where genetic information is widely used for a considerable number of years. Large numbers of complex genetic sequences are available, in addition to clinical data. ViroLab offers a unique opportunity as a blueprint for the potentially many diseases where genetic information becomes important in future years.

Call for proposal

FP6-2004-IST-4
See other projects for this call

Coordinator

UNIVERSITEIT VAN AMSTERDAM
EU contribution
€ 812 652,00
Address
Kruislaan 403
1098 SJ Amsterdam
Netherlands

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Activity type
Higher or Secondary Education Establishments
Total cost
No data

Participants (13)