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DTSTAMP:20220812T074335Z
LOCATION:Rio Room
DTSTART;TZID=Europe/Stockholm:20220628T170000
DTEND;TZID=Europe/Stockholm:20220628T173000
UID:submissions.pasc-conference.org_PASC22_sess158_msa118@linklings.com
SUMMARY:Understanding Collective Phenomena in Multicellular Systems throug
 h Agent-Based Models
DESCRIPTION:Minisymposium\n\nUnderstanding Collective Phenomena in Multice
 llular Systems through Agent-Based Models\n\nMatthäus\n\nAgent-based model
 s are powerful tools to describe and simulate biological multi-cellular sy
 stems. They consider individual cells as discrete objects, each given as a
  feature vector. To model tissue dynamics, the features, such as position 
 or velocity, evolve in time. In our approaches we use systems of stochasti
 c differential equations to describe the dynamics of the cell features. Th
 ese equations are constructed to include mechanical forces between the cel
 ls (adhesion, repulsion, elasticity, mechanotransduction), random and pers
 istent migration, growth and division, polarity, internal processes or int
 eraction with a dynamic environment. Simulations are then performed by sol
 ving the resulting systems of (often several thousand) coupled differentia
 l equations numerically. In the past years these models have been successf
 ully applied to demonstrate that the dynamics of multi-cellular systems ca
 n often be explained by the interaction of a small set of mechanisms. And 
 interestingly, while the focus of the life sciences often lies on gene reg
 ulation or intracellular signalling, we can show that the mechanics of cel
 l-cell interactions can account for many observed behaviours. In the talk 
 I will present examples in the areas of development, model systems, and di
 sease, and show how relatively simple models can provide insight into the 
 mechanisms underlying multicellular behaviour.\n\nDomain: Computer Science
  and Applied Mathematics, Life Sciences, Physics
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