Machine learning-enhanced nano-QSAR and multiscale modeling for predictive nanomedicine: applications in herbal therapeutics and neglected tropical diseases.

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Bibliographic Details
Title: Machine learning-enhanced nano-QSAR and multiscale modeling for predictive nanomedicine: applications in herbal therapeutics and neglected tropical diseases.
Authors: Abor, Evans Kwabena1,2, aborek@mail.uc.edu, Addy, Humphrey P. K.1,3, hpkaddy@st.knust.edu.gh, Sarpong, Emmanuel Adu1, emmanuel.sarpong@stu.ucc.edu.gh, Sam, Pius Kwasi1, psam@stu.ucc.edu.gh, Anning, Alberta Serwah1, alberta.anning@ucc.edu.gh, Ghartey-Kwansah, George1, george.ghartey-kwansah@ucc.edu.gh, Armah, Francis Ackah1, francis.armah@ucc.edu.gh
Source: Discover Nano; 6/26/2026, Vol. 21 Issue 1, p1-29, 29p
Database: Applied Science & Technology Source
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ISSN:27319229
DOI:10.1186/s11671-026-04679-3