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An agent-based modeling approach for lung fibrosis in response to COVID-19.

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Title: An agent-based modeling approach for lung fibrosis in response to COVID-19.
Authors: Islam, Mohammad Aminul1 (AUTHOR), Getz, Michael2 (AUTHOR), Macklin, Paul2 (AUTHOR), Ford Versypt, Ashlee N.1,3,4 (AUTHOR) ashleefv@buffalo.edu
Source: PLoS Computational Biology. 12/21/2023, Vol. 19 Issue 12, p1-27. 27p.
Database: Academic Search Ultimate
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  Data: An agent-based modeling approach for lung fibrosis in response to COVID-19.
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  Data: <searchLink fieldCode="AR" term="%22Islam%2C+Mohammad+Aminul%22">Islam, Mohammad Aminul</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Getz%2C+Michael%22">Getz, Michael</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Macklin%2C+Paul%22">Macklin, Paul</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ford+Versypt%2C+Ashlee+N%2E%22">Ford Versypt, Ashlee N.</searchLink><relatesTo>1,3,4</relatesTo> (AUTHOR)<i> ashleefv@buffalo.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 12/21/2023, Vol. 19 Issue 12, p1-27. 27p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=174388984
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        Value: 10.1371/journal.pcbi.1011741
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        Text: English
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              Text: 12/21/2023
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