Machine learning-enhanced nano-QSAR and multiscale modeling for predictive nanomedicine: applications in herbal therapeutics and neglected tropical diseases.
- DOI
- 10.1186/s11671-026-04679-3
- Published
- 2026 Jun 26
- Container
- Discover nano
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s11671-026-04679-3,
title = {Machine learning-enhanced nano-QSAR and multiscale modeling for predictive nanomedicine: applications in herbal therapeutics and neglected tropical diseases.},
author = {Abor EK and Addy HPK and Sarpong EA and Sam PK and Anning AS and Ghartey-Kwansah G and Armah FA},
year = {2026},
journal = {Discover nano},
doi = {10.1186/s11671-026-04679-3},
url = {https://doi.org/10.1186/s11671-026-04679-3}
}RIS
TY - JOUR TI - Machine learning-enhanced nano-QSAR and multiscale modeling for predictive nanomedicine: applications in herbal therapeutics and neglected tropical diseases. AU - Abor EK AU - Addy HPK AU - Sarpong EA AU - Sam PK AU - Anning AS AU - Ghartey-Kwansah G AU - Armah FA PY - 2026 JO - Discover nano DO - 10.1186/s11671-026-04679-3 UR - https://doi.org/10.1186/s11671-026-04679-3 ER -
APA
EK, A., HPK, A., EA, S., PK, S., AS, A., G, G., & FA, A. (2026). Machine learning-enhanced nano-QSAR and multiscale modeling for predictive nanomedicine: applications in herbal therapeutics and neglected tropical diseases.. Discover nano. https://doi.org/10.1186/s11671-026-04679-3
Source records
- pubmed · retrieved 2026-09-26T07:55:51.822Z