BioGears Engine
BioGears Engine simulates whole-body human physiology to model pathophysiological processes and enable quantitative investigation of conditions such as sepsis.
Key Features:
- Whole-body physiology simulation: Represents interconnected organ systems for dynamic, whole-body physiological simulation.
- Virtual human modeling: Generates virtual human subjects to simulate individual physiological responses.
- Sepsis mathematical model: Implements an intricate mathematical model of sepsis within the BioGears framework.
- Detailed pathophysiology representation: Encodes sepsis pathophysiology to support scenario-based investigations.
- Treatment regimen simulation: Defines and simulates different treatment regimens to evaluate physiological effects.
- Phenotype and outcome analysis: Elucidates biological mechanisms and patient phenotypes that contribute to variability in outcomes.
Scientific Applications:
- Sepsis research: Investigate sepsis pathophysiology, mechanisms, and drivers of outcome variability among patients.
- Therapeutic evaluation: Assess the physiological impact and comparative effectiveness of diverse treatment regimens.
- Physiological scenario simulation: Simulate physiological responses to clinical scenarios to explore system-level effects.
- Medical training and education: Provide simulation-based scenarios for training healthcare professionals in managing complex conditions like sepsis.
- Decision support research: Support evidence-based investigation of treatment strategies and their systemic consequences.
Methodology:
Develop a detailed representation of sepsis pathophysiology within the BioGears Engine, construct a mathematical model of sepsis, define and simulate treatment regimens, and simulate physiological responses to scenarios to analyze mechanisms and phenotype-driven variability.
Topics
Details
- License:
- Apache-2.0
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- C++
- Added:
- 1/14/2020
- Last Updated:
- 1/14/2021
Operations
Publications
McDaniel M, Keller JM, White S, Baird A. A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine. Frontiers in Physiology. 2019;10. doi:10.3389/fphys.2019.01321. PMID:31681022. PMCID:PMC6813930.
Links
Repository
https://github.com/BioGearsEngineRepository
https://github.com/BioGearsEngine/core