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RANDI2 is an open source web application for randomization within clinical trials. It supports a variety of randomization algorithms and offers a very useful set of functions for randomization data & progress visualization and trial management - for more information please visit http://www.randi2.org
The complexity of cellular networks is an outstanding challenge for documentation, visualisation and mathematical modelling. In this project, we develop a new way to describe these networks that minimises the combinatorial complexity and allows an automatic visualisation and export of mathematical (ODE/rulebased) models.
Features:
GIMIAS is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly technology transfer and commercial product development.
GIMIAS suites are collections of prototypes that build a complete platform for one or more clinical applications.
ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities.
ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data.
Virtual Medical Training (ViMeT) is an object-oriented framework that uses virtual reality to simulate medical training.
CyberUnits is a cross-platform class library for rapid programming of high-performance computer simulations in life sciences. It supports modelling for biomedical cybernetics and systems biology with Object Pascal, S and Matlab.
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