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September 30, 2025Open Access

Trajectory-matching ABC-MCMC for simulating heterogeneous dynamics in mechanistic models

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Authors

FBFatemeh BeighmohammadiJWJordan J.A. WeaverSHSolène Hegarty-Cremer

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Overview

New model-based technique improves sampling efficiency in mechanistic models, suggesting better virtual clinical trials and patient cohorts.

Key Points

  • Trajectory-matching ABC-MCMC effectively captures the variability of complex biological systems and enhances computational efficiency.
  • The method reproduces observed noise in biological systems, demonstrating improved performance compared to existing ABC-MCMC algorithms.
  • Using mechanistic models to integrate virtual clinical trials, this approach highlights potential advancements in experimental design.
  • TM-ABC-MCMC constrains model trajectories to generate heterogeneity, addressing the high rejection rates in traditional ABC-MCMC methods.

Cite This Study

Beighmohammadi et al. (2025) studied this question.

synapsesocial.com/papers/68dc1e3f8a7d58c25ebb1e31https://doi.org/10.1101/2025.09.26.678800
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