BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200504T140000
DTEND;TZID=America/New_York:20200504T153000
DTSTAMP:20260407T172406
CREATED:20200429T184222Z
LAST-MODIFIED:20200429T184222Z
UID:2974-1588600800-1588606200@seasevents.nmsdev7.com
SUMMARY:Virtual Joint Seminar: Open Source Multicellular Systems Modeling for Cancer (and COVID-19)
DESCRIPTION:Virtual Joint Seminar of Penn PSOC\, Bioengineering\, PICS \nFor Zoom details\, email gormley@seas.upenn.edu \nCancer and other critical human health problems are inherently multiscale: molecular-scale processes such as receptor trafficking and metabolism drive cell-scale processes such as cycling and motility. Biophysical processes like diffusion and tissue mechanics both constrain and drive single-cell behavior. Moreover\, cells communicate and coordinate through chemical and mechanical processes. All these processes are dynamically linked to drive emergent multicellular systems behaviors in healthy and diseased tissues. \nComputational models can act as “virtual laboratories” for multicellular systems biology. The ideal such laboratory should include cell and tissue biomechanics\, biotransport of multiple chemical substrates including signaling factors\, and many interacting cells. This talk presents PhysiCell (http://dx.doi.org/10.1371/journal.pcbi.1005991)\, an open source agent-based platform for 3-D multicellular systems biology. With PhysiCell\, desktop workstations can routinely simulate systems of ten or more cell-secreted chemical signals and tissue substrates\, along with 10^5 to 10^6 individual cells that grow\, divide\, die\, secrete chemical signals\, move\, exchange mechanical forces\, and remodel their tissue microenvironment. High-performance computing (HPC) resources can run tens of thousands of copies of these models to perform vast 3-D computational experiments\, and artificial intelligence (AI) techniques can help us to accelerate these investigations and analyze the simulation results. \nWe will explore PhysiCell models of two cancer problems: (1) We will investigate how tumor-parenchyma biomechanical cross-talk can lead to tumor dormancy in liver micrometastases\, and how changes in tissue mechanics (e.g.\, after an illness\, injury\, or aging) can lead to tumor “reawakening”. (2) We will explore the critical role of stochastic tumor-immune interactions in cancer immunosurveillance. We will show joint work with Argonne National Lab to explore large hypothesis and design spaces on supercomputers\, as well as very recent advances in using machine learning to accelerate these explorations while also improving model interpretation. \nWe will also present work by a growing coalition of mathematicians\, virologists\, immunologists\, pharmacologists\, and others to rapidly prototype and iteratively improve a comprehensive multiscale SARS-CoV-2 tissue simulator. The first prototype model was built and shared internationally as open source code and interactive\, cloud-hosted models in under 12 hours\, and the work was disseminated as a community-written preprint within a week. The second prototype was updated to include ACE2 receptor-driven virus endocytosis and a more modular design; the third prototype is well underway. This coalition-based approach is developing submodel components in parallel and coordination\, allowing us to rapidly advance towards a feature complete framework to drive many independent investigations that help us attack COVID-19. This project shows the potential for similar community-driven advances in cancer. Moreover\, the novel mix of cancer biologists\, immunologists\, microbiologists\, and others is fueling creative advances and new technical capabilities in multiscale tissue modeling. We anticipate that this progress will drive advances in cancer immunology\, inflammation\, and virus-driven carcinogenesis for years to come. \nPhysiCell Animation \nhttps://www.youtube.com/watch?v=nJ2urSm4ilU&authuser=0
URL:https://seasevents.nmsdev7.com/event/virtual-joint-seminar-open-source-multicellular-systems-modeling-for-cancer-and-covid-19/
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
END:VCALENDAR