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DTSTAMP:20260615T191144Z
UID:93df9eed-8498-4127-a04f-484fde1b4cf9
DTSTART:20220426T090000Z
DTEND:20220426T170000Z
DESCRIPTION:Tissues are complex multiscale biological systems where cells c
 ommunicate to modulate their behaviour in response to dynamical microenvir
 onmental conditions. Small perturbations to cells—such as injuries or th
 erapy—can have unanticipated "ripple effects" that percolate through the
  system. We can use computational models as "virtual laboratories" to expl
 ore these complex systems.\n\nIn this talk\, we will introduce PhysiCell\,
  an open source agent-based modelling platform that can simulate many indi
 vidual cell agents as they interact in tissue with multiple diffusing chem
 ical signals. We will give examples drawn from hypoxic cancer invasion\, m
 echanics-driven "reawakening" of dormant micrometastases\, and innate and 
 adaptive immune responses to viral pathogens (like SARS-CoV-2) and tumour 
 micrometastases.\n\nWe will close with new developments (and a live demons
 tration!) to integrate knowledge mapping directly into the modelling proce
 ss\, where expert-driven biological hypotheses (chemical signal X increase
 s cell behaviour Y) are directly transformed into mathematics and code. In
  our vision\, multidisciplinary teams will curate biological knowledge to 
 jointly develop mathematical models in real time to better evaluate our kn
 owledge gaps and exploit our knowledge to treat disease. \n\n \n\n### Ab
 out the speaker\n\n[Paul Macklin](https://luddy.indiana.edu/contact/profil
 e/?profile_id=464) is an Associate Professor of Intelligent Systems Engine
 ering at Indiana University (IU).  \n His team\, the [Math Cancer Lab](htt
 p://mathcancer.org/)\, develops open source computational tools for multic
 ellular systems biology\, such as BioFVM (for multi-substrate diffusion) a
 nd PhysiCell (for large-scale agent-based simulations in 3-D tissues). He 
 has worked closely with others to develop new capabilities for the PhysiCe
 ll platform. The codes developed have been applied to diverse problems in 
 cancer biology\, nanotherapy\, tissue engineering\, immunology\, cryobiolo
 gy\, synthetic systems\, and microbiology.
LOCATION:\, 
SUMMARY:Mathematical modelling as knowledge mapping in PhysiCell: a guided 
 tour
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/mathematical-modelling-
 knowledge-mapping-physicell-guided-tour
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