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Deep Learning for Time Series Illustrated by COVID-19 Infection Studies
Online Presentations | 04 Feb 2021 | Contributor(s):: Geoffrey C. Fox
We show that one can study several sets of sequences or time-series in terms of an underlying evolution operator which can be learned with a deep learning network.
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Biology of COVID-19 Attack on Epithelial Cells, understood from a Modeling and Simulation Perspective
Online Presentations | 04 Feb 2021 | Contributor(s):: Paul Macklin
n this session, we describe a community-driven effort to iteratively develop a multiscale, spatially-resolved open source model of SARS-CoV-2 dynamics and immune response in tissues.
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Understanding COVID-19 Infection, Immune Response, and Drug Therapy through Multiscale, Multicellular Modeling and Simulation
Online Presentations | 10 Dec 2020 | Contributor(s):: T.J. Sego
This workshop presents an open-source Python- and XML-scripted multiscale modeling and simulation framework of an epithelial tissue infected by a virus, a simplified cellular immune response and viral and immune-induced tissue damage and shows how to use it to model basic patterns of infection...
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Saliva-Based Testing for COVID-19
Online Presentations | 22 Nov 2020 | Contributor(s):: Mohit Verma
The Verma lab is developing a molecular test for SARS-CoV-2 that detects the RNA and produces a color change in less than one hour. Using saliva as the sample, this test is easier to use at the point-of-care.
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Multiscale Multicellular Modeling of Tissue Function and Disease using CompuCell3D
Online Presentations | 03 Jun 2020 | Contributor(s):: James A Glazier, Juliano Ferrari Gianlupi
Multiscale multicellular models combine representations of subcellular biological networks, cell behaviors, tissue level effects and whole body effects to describe tissue outcomes during development, homeostasis and disease. I will briefly introduce these simulation methodologies, the CompuCell3D...