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AIBench: a rapid application development framework for translational research in biomedicine
D Glez-Peña1, M Reboiro-Jato, P Maia
1Department of Informatics, University of Vigo, Campus Universitario As Lagoas s/n, Ourense, Spain. dgpena@uvigo.es
Computer Methods and Programs in Biomedicine
|January 6, 2010
Summary
AIBench is an open-source Java framework for developing biomedical applications, streamlining the creation, deployment, and reuse of scientific software for translational medicine research.
Area of Science:
- Biomedical Informatics
- Translational Medicine
- Software Engineering
Background:
- Modern biomedical research demands rapid development of specialized applications for practical use.
- Existing tools often lack efficiency in generating, deploying, and reusing biomedical applications and their functionalities.
Purpose of the Study:
- To introduce AIBench, an open-source Java desktop application framework.
- To support fundamental and applied research in translational medicine through efficient scientific software development.
Main Methods:
- AIBench utilizes a plug-in engine and scripting platform.
- Leverages Java annotations, reflection, and design principles for ease of use and minimal intrusiveness.
- Employs a simple input-processing-output lifecycle with operations, data-types, and views.
Main Results:
- Facilitates the development of multiplatform applications with built-in features like parameter definition, logging, and workflow management.
- Enables the creation of reusable components for assembling new applications from existing libraries.
- Offers a lightweight and non-intrusive development environment.
Conclusions:
- AIBench provides a robust and flexible framework for accelerating scientific software development in translational biomedicine.
- Its component model promotes code reuse and efficient application assembly.
- AIBench supports the practical application of research findings through advanced software functionalities.
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