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.

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