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. |
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| 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 |
| ISSN: | 2001-0370 |
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| DOI: | 10.1016/j.csbj.2025.05.015 |
