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Updated: Jul 10, 2026
09:09
In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
A platform for in silico modeling of physiological systems
Toshihiro Kawazu1, Masao Nakanishi, Yasuyuki Suzuki
1Graduate School of Engineering Science, center for advanced medical engineering and informatics, Osaka University, Toyonaka, Osaka, 560-8531 Japan. kawazu@bpe.es.osaka-u.ac.jp
Summary
Developing foundational systems for a physiological modeling platform is crucial. This includes standardized descriptions and databases for simulating biological systems across scales.
Area of Science:
- Physiological modeling
- Computational biology
- Systems biology
Background:
- Physiological modeling requires robust computational platforms.
- Current platforms lack standardized descriptions for diverse biological systems.
- Simulating biological organisms across multiple scales presents significant challenges.
Purpose of the Study:
- To describe the development of essential base systems for a physiome-typed platform.
- To establish a standardized method for describing biological structures and dynamics.
- To create a database and APIs for large-scale physiological model construction and simulation.
Main Methods:
- Developing a CellML-compatible standardized description for biological structures and dynamic equations.
- Designing a database to manage standardized biological descriptions.
- Considering Application Programming Interfaces (APIs) for model construction and simulation.
Main Results:
- A framework for standardized description of biological systems was conceptualized.
- The necessity of a compatible database and simulation APIs was identified.
- The foundation for a multi-scale physiological modeling platform was laid.
Conclusions:
- The development of standardized descriptions, databases, and APIs is critical for advancing physiological modeling.
- These base systems are necessary for creating a comprehensive physiome-typed platform.
- The proposed systems will facilitate multi-scale simulations across diverse biological hierarchies.
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