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AI-driven multimodal colorimetric analytics for biomedical and behavioral health diagnostics.

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Title: AI-driven multimodal colorimetric analytics for biomedical and behavioral health diagnostics.
Authors: Hagos DH; Howard University, Department of Electrical Engineering and Computer Science, 2400 Sixth Street NW, Washington DC, 20059, DC, USA., Aryal SK; Howard University, Department of Electrical Engineering and Computer Science, 2400 Sixth Street NW, Washington DC, 20059, DC, USA., Ymele-Leki P; Howard University, Department of Chemical Engineering, 2400 Sixth Street NW, Washington DC, 20059, DC, USA., Burge LL; Howard University, Department of Electrical Engineering and Computer Science, 2400 Sixth Street NW, Washington DC, 20059, DC, USA.
Source: Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2025 May 28; Vol. 27, pp. 2219-2232. Date of Electronic Publication: 2025 May 28 (Print Publication: 2025).
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology Country of Publication: Netherlands NLM ID: 101585369 Publication Model: eCollection Cited Medium: Print ISSN: 2001-0370 (Print) Linking ISSN: 20010370 NLM ISO Abbreviation: Comput Struct Biotechnol J Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
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AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: AI-driven multimodal colorimetric analytics for biomedical and behavioral health diagnostics.
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  Data: <searchLink fieldCode="AU" term="%22Hagos+DH%22">Hagos DH</searchLink>; Howard University, Department of Electrical Engineering and Computer Science, 2400 Sixth Street NW, Washington DC, 20059, DC, USA.<br /><searchLink fieldCode="AU" term="%22Aryal+SK%22">Aryal SK</searchLink>; Howard University, Department of Electrical Engineering and Computer Science, 2400 Sixth Street NW, Washington DC, 20059, DC, USA.<br /><searchLink fieldCode="AU" term="%22Ymele-Leki+P%22">Ymele-Leki P</searchLink>; Howard University, Department of Chemical Engineering, 2400 Sixth Street NW, Washington DC, 20059, DC, USA.<br /><searchLink fieldCode="AU" term="%22Burge+LL%22">Burge LL</searchLink>; Howard University, Department of Electrical Engineering and Computer Science, 2400 Sixth Street NW, Washington DC, 20059, DC, USA.
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  Data: <searchLink fieldCode="JN" term="%22101585369%22">Computational and structural biotechnology journal</searchLink> [Comput Struct Biotechnol J] 2025 May 28; Vol. 27, pp. 2219-2232. <i>Date of Electronic Publication: </i>2025 May 28 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+B%2EV%2E+on+behalf+of+Research+Network+of+Computational+and+Structural+Biotechnology%22">Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101585369 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2001-0370 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220010370%22">20010370 </searchLink><i>NLM ISO Abbreviation: </i>Comput Struct Biotechnol J <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40520591
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      – Type: doi
        Value: 10.1016/j.csbj.2025.05.015
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      – Code: eng
        Text: English
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        StartPage: 2219
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      – TitleFull: AI-driven multimodal colorimetric analytics for biomedical and behavioral health diagnostics.
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            NameFull: Hagos DH
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            NameFull: Aryal SK
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            NameFull: Ymele-Leki P
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            NameFull: Burge LL
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          Dates:
            – D: 28
              M: 05
              Text: 2025 May 28
              Type: published
              Y: 2025
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              Value: 27
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            – TitleFull: Computational and structural biotechnology journal
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