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DTSTAMP:20220812T074357Z
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DTSTART;TZID=Europe/Stockholm:20220628T163000
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UID:submissions.pasc-conference.org_PASC22_sess158@linklings.com
SUMMARY:MS4E - Cell-Based Tissue Modeling
DESCRIPTION:Minisymposium\n\nThis minisymposium focuses on state-of-the-ar
 t computational approaches and their validation to explore the growth, dyn
 amics and organization of biological tissues at various scales, from organ
 s to the subcellular level. Recent advances in imaging technologies, algor
 ithms, and computer hardware enable more realistic models of cell and tiss
 ue dynamics with subcellular features. Exploiting concepts from high-perfo
 rmance computing and advanced algorithms, computer simulations with high s
 patial and temporal resolution are becoming accessible. Coupling biomechan
 ical models with chemical signaling or intra- or extracellular fluids and 
 components further enhances the complexity of tissue processes that can be
  accurately simulated. Collective phenomena involving dozens or hundreds o
 f cells need to be simulated within useful simulation times. In combinatio
 n with theory development, computational approaches that enable this provi
 de novel insights into the biomechanical principles of cell aggregation an
 d tissue growth and structure, with important implications for our underst
 anding of biological development, morphogenesis and diseases. In this mini
 symposium, recent advances in numerical high-performance simulations of ce
 llular systems and their experimental validation are discussed.\n\nModelli
 ng Three-Dimensional Cell Aggregates with Interacting Active Surfaces\n\nS
 albreux, Torres-Sanchez\n\nIn this presentation I will introduce a modelli
 ng and simulation framework for cell aggregates in three dimensions based 
 on interacting active surfaces. Cell mechanics is captured by a physical d
 escription of the acto-myosin cortex, represented as an active surface, th
 at includes cortical flows, vis...\n\n---------------------\nTaking Cell-B
 ased Models for Epithelial Dynamics to the Third Dimension\n\nVetter, Runs
 er, Iber\n\nUntil recently, computer simulations of tissue mechanics and e
 pithelial morphogenesis were largely restricted to reduced spatial dimensi
 ons or simplified geometries and inter-cellular interactions due to the hi
 gh geometric complexity and daunting numerical costs associated with the c
 omplex shape and...\n\n---------------------\nTissue Growth in Free or Con
 fined Environments: a Comparison Between Experiments and Numerical Simulat
 ions\n\nChopard, Conradin, Coreixas, Lätt, Di Meglio...\n\nWe developed Pa
 laCell2D, a numerical framework to model tissue growth. It is based on the
  dynamics of interacting cells described by their contour, deformability, 
 proliferation rate and contact with neighbors. We simulate such a tissue i
 n different situations and compare the behavior with the corres...\n\n----
 -----------------\nUnderstanding Collective Phenomena in Multicellular Sys
 tems through Agent-Based Models\n\nMatthäus\n\nAgent-based models are powe
 rful tools to describe and simulate biological multi-cellular systems. The
 y consider individual cells as discrete objects, each given as a feature v
 ector. To model tissue dynamics, the features, such as position or velocit
 y, evolve in time. In our approaches we use systems...\n\n\nDomain: Comput
 er Science and Applied Mathematics, Life Sciences, Physics
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