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VERSION:2.0
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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260612T111922Z
UID:https://www.mr.mpg.de/events/22416/10694
DTSTART:20191105T130000Z
DTEND:20191105T140000Z
CLASS:PUBLIC
CREATED:20191104T142706Z
DESCRIPTION:Cancer invasion may be viewed as collective phenomenon emerging
  from the interplay of individual biological cells with their environment.
  Cell-based mathematical models can be used to decipher the rules of inter
 action. In these models cells are regarded as separate movable units. Here
 \, we introduce an integrative modelling approach based on mesoscopic biol
 ogical lattice-gas cellular automata (BIO-LGCA) to analyse collective effe
 cts in cancer invasion. This approach is rule- and cell-based\, computatio
 nally efficient\, and integrates statistical and biophysical models for di
 fferent levels of biological knowledge. In particular\, we provide BIO-LGC
 A models to analyse mechanisms of invasion in glioma and breast cancer cel
 l lines.
LAST-MODIFIED:20191104T142708Z
LOCATION:MPI for Medical Research\, Room: Seminar Room A/B
SUMMARY:CBP Departmental Seminar with Andreas Deutsch (TU Darmstadt) on 'Ce
 llular automaton models for the analysis of collective effects in cancer i
 nvasion': CBP Departmental Seminar with Andreas Deutsch (TU Darmstadt) on 
 'Cellular automaton models for the analysis of collective effects in cance
 r invasion'
URL;VALUE=URI:https://www.mr.mpg.de/events/22416/10694
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