Blood brain barrier permeability prediction with artificial intelligence and machine learning: a meta-review and future directions.
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| Title: | Blood brain barrier permeability prediction with artificial intelligence and machine learning: a meta-review and future directions. |
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| Authors: | Grant, Nadine1,2, Machado Reyes, Diego1,2, Yang, Zefan1,2, Wan, Leo1,2, Wang, Chunyu2,3, Yan, Pingkun1,2, yanp2@rpi.edu |
| Source: | Discover Artificial Intelligence; 9/30/2025, Vol. 5 Issue 1, p1-17, 17p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188452875 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188452875 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s44163-025-00494-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Blood brain barrier permeability prediction with artificial intelligence and machine learning: a meta-review and future directions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Grant, Nadine – PersonEntity: Name: NameFull: Machado Reyes, Diego – PersonEntity: Name: NameFull: Yang, Zefan – PersonEntity: Name: NameFull: Wan, Leo – PersonEntity: Name: NameFull: Wang, Chunyu – PersonEntity: Name: NameFull: Yan, Pingkun IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 09 Text: 9/30/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 27310809 Numbering: – Type: volume Value: 5 – Type: issue Value: 1 Titles: – TitleFull: Discover Artificial Intelligence Type: main |
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