Use of Artificial Intelligence to Improve the Calculation of Percent Adhesion for Transdermal and Topical Delivery Systems.
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| Title: | Use of Artificial Intelligence to Improve the Calculation of Percent Adhesion for Transdermal and Topical Delivery Systems. |
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| Authors: | Wang C; Food and Drug Administration, Silver Spring, Maryland, USA. Chao.Wang@fda.hhs.gov., Strasinger C; Food and Drug Administration, Silver Spring, Maryland, USA., Weng YT; Food and Drug Administration, Silver Spring, Maryland, USA., Zhao X; Food and Drug Administration, Silver Spring, Maryland, USA. |
| Source: | Journal of medical systems [J Med Syst] 2023 Dec 18; Vol. 48 (1), pp. 4. Date of Electronic Publication: 2023 Dec 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38105364 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Use of Artificial Intelligence to Improve the Calculation of Percent Adhesion for Transdermal and Topical Delivery Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wang+C%22">Wang C</searchLink>; Food and Drug Administration, Silver Spring, Maryland, USA. Chao.Wang@fda.hhs.gov.<br /><searchLink fieldCode="AU" term="%22Strasinger+C%22">Strasinger C</searchLink>; Food and Drug Administration, Silver Spring, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Weng+YT%22">Weng YT</searchLink>; Food and Drug Administration, Silver Spring, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Zhao+X%22">Zhao X</searchLink>; Food and Drug Administration, Silver Spring, Maryland, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227806056%22">Journal of medical systems</searchLink> [J Med Syst] 2023 Dec 18; Vol. 48 (1), pp. 4. <i>Date of Electronic Publication: </i>2023 Dec 18. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Kluwer+Academic%2FPlenum+Publishers%22">Kluwer Academic/Plenum Publishers </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7806056 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-689X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201485598%22">01485598 </searchLink><i>NLM ISO Abbreviation: </i>J Med Syst <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38105364 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10916-023-02027-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 4 Titles: – TitleFull: Use of Artificial Intelligence to Improve the Calculation of Percent Adhesion for Transdermal and Topical Delivery Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang C – PersonEntity: Name: NameFull: Strasinger C – PersonEntity: Name: NameFull: Weng YT – PersonEntity: Name: NameFull: Zhao X IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 12 Text: 2023 Dec 18 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1573-689X Numbering: – Type: volume Value: 48 – Type: issue Value: 1 Titles: – TitleFull: Journal of medical systems Type: main |
| ResultId | 1 |
