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Keeping generative artificial intelligence reliable in omics biology.

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Title: Keeping generative artificial intelligence reliable in omics biology.
Authors: Burger T; University Grenoble Alpes, CNRS, CEA, INSERM, UA13 BGE, UAR2048 ProFI, EDyP, 38000 Grenoble, France.
Source: Patterns (New York, N.Y.) [Patterns (N Y)] 2026 Jan 09; Vol. 7 (1), pp. 101417. Date of Electronic Publication: 2026 Jan 09 (Print Publication: 2026).
Publication Type: News
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101767765 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-3899 (Electronic) Linking ISSN: 26663899 NLM ISO Abbreviation: Patterns (N Y) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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      – Type: doi
        Value: 10.1016/j.patter.2025.101417
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      – Code: eng
        Text: English
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        StartPage: 101417
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      – TitleFull: Keeping generative artificial intelligence reliable in omics biology.
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              Text: 2026 Jan 09
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              Y: 2026
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