MS119 - Agent-Based Modelling to simulate cell- and multiscale problems in Biology
Keywords: agent-based model, cell biomechanics, disease progression model, high-performance computing, mechano-biology, Multiscale Fluid Dynamics
Agent-based models are stochastic modelling procedures, whose most notable characteristic is to be rooted on the specification of local rules attached to the simulated objects â€“hence â€œagent basedâ€â€“ informing in turn the computed behaviours (i.e., movement, interaction, replication, death, transformation, etc.). Adoption of agent-based modelling (ABM) in biomedicine and life sciences has seen a rapid growth in the last decades, first and foremost, because AÎ’M is very appropriate to simulate systems about which researchers have accumulated parcelled local knowledge of datasets acquired by a variety of modalities, and that are interested in exploring how to relate to emerging behaviours. Furthermore, ABM is a rule-based approach that is well-suited to integrate multiple spatio-temporal scales (e.g., intracellular processes, microenvironmental remodelling, multicellular population dynamics, cell-to-tissue and tissue-to-cell interactions, angiogenesis, immuno-surveillance, etc.). The purpose of this minisymposium is to act as a forum for investigators to present the state of the art in ABM in biology and life sciences, with a focus on pathophysiology of chronic (e.g., neuro-developmental and neurodegenerative disorders, cancer, diabetes, chronic inflammation) and communicable diseases (viral infections, parasitic disorders, etc.). Together, we aim to foster the exchange of knowledge and ideas across multiple disciplines: mathematics, physics, computer science, engineering, biology, medicine. We welcome contributions addressing challenges related to mathematical and computational modelling using ABM with particular emphasis in: â€¢ cross-scale (from organ to tissue, cell, protein and molecular level) ABM simulations; â€¢ challenges in numerical techniques â€“including high-performance computing proceduresâ€“ for single scale or/and multiscale agent-based models; â€¢ benchmarking and calibration of ABM in problems related to systems biology; â€¢ simulations that integrate in vitro and/or in vivo laboratory experiments for ABM initialization, parametrization and/or validation; â€¢ prognostic ABM in drug delivery, nanomedicine, immunotherapy, and radiation treatment, with special focus on optimisation of trials and in vivo/ex vivo models substitution/ complementarity.