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Recent advances in biomedical simulations: a manifesto for model engineering
Joseph L Hellerstein1, Stanley Gu2, Kiri Choi2
1eScience Institute, University of Washington, Seattle, WA, USA.
F1000Research
|March 19, 2019
Summary
Model engineering enhances biomedical simulations by applying software engineering practices. This approach improves simulation quality through better requirements, design, construction, version control, and testing.
Area of Science:
- Biomedical simulations
- Computational biology
- Systems biology
Background:
- Biomedical simulations are crucial for understanding diseases, engineering cells, and modeling cellular processes.
- Current simulation models often lack the quality and reliability needed for robust scientific discovery.
- There is a need for systematic approaches to improve the development and maintenance of biomedical simulation models.
Purpose of the Study:
- To explore the application of software engineering principles to biomedical simulation model development.
- To introduce the concept of 'model engineering' for enhancing simulation quality.
- To identify current efforts and future research directions in improving biomedical simulation quality.
Main Methods:
- Surveying existing techniques for improving simulation quality.
- Adapting software engineering practices (requirements, design, construction) for simulation models.
- Leveraging software engineering tools (version control, error checking, testing) in model development.
Main Results:
- Software engineering practices can significantly improve the quality of biomedical simulation models.
- Model engineering offers a structured framework for developing reliable and maintainable simulations.
- Adaptations of software engineering techniques are necessary for effective model engineering.
Conclusions:
- Applying software engineering practices, termed model engineering, is a promising direction for enhancing biomedical simulations.
- Further research is needed to fully realize the potential of model engineering in computational biology.
- Adoption of model engineering principles can lead to more trustworthy and reproducible biomedical research.
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