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For: Crouser ED. In-silico modeling of granulomatous diseases. Curr Opin Pulm Med 2016;22:500-8. [PMID: 27468134 DOI: 10.1097/MCP.0000000000000296] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Number Cited by Other Article(s)
1
Models Contribution to the Understanding of Sarcoidosis Pathogenesis: "Are There Good Models of Sarcoidosis?". J Clin Med 2020;9:jcm9082445. [PMID: 32751786 PMCID: PMC7464295 DOI: 10.3390/jcm9082445] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 07/27/2020] [Accepted: 07/27/2020] [Indexed: 12/29/2022]  Open
2
Magombedze G, Marino S. Mathematical and computational approaches in understanding the immunobiology of granulomatous diseases. ACTA ACUST UNITED AC 2018. [DOI: 10.1016/j.coisb.2018.07.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
3
Transcriptome profiles in sarcoidosis and their potential role in disease prediction. Curr Opin Pulm Med 2018;23:487-492. [PMID: 28590292 DOI: 10.1097/mcp.0000000000000403] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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