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16 Artificial intelligence integrating gut microbiome multi-omics to predict clinical outcomes in children with cystic fibrosis.

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Title: 16 Artificial intelligence integrating gut microbiome multi-omics to predict clinical outcomes in children with cystic fibrosis.
Authors: Pushpakumara, B. (AUTHOR), Becirovic, R. (AUTHOR), van Dorst, J. (AUTHOR), Coffey, M. (AUTHOR), Halim, J. (AUTHOR), Beheshti, B. (AUTHOR), Argha, A. (AUTHOR), Alinejad-Rokny, H. (AUTHOR), Ooi, C. (AUTHOR)
Source: Journal of Cystic Fibrosis. 2025 Supplement 2, Vol. 24, pS9-S9. 1p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 189478028
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: 16 Artificial intelligence integrating gut microbiome multi-omics to predict clinical outcomes in children with cystic fibrosis.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189478028
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        Value: 10.1016/S1569-1993(25)01636-4
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        Text: English
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        StartPage: S9
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      – TitleFull: 16 Artificial intelligence integrating gut microbiome multi-omics to predict clinical outcomes in children with cystic fibrosis.
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              Text: 2025 Supplement 2
              Type: published
              Y: 2025
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