Machine learning ensemble models for predicting the antibacterial efficacy of gold nanoparticles
Antimicrobial resistance (AMR) has been increasing rapidly, emerging as a major global health challenge. Gold nanoparticles (AuNPs) are promising antibacterial agents due to their biocompatibility, low toxicity, and ease of functionalization. However, optimizing the physico-chemical properties of Au...
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| Main Authors: | , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
IOP Publishing
2025-01-01
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| Series: | Materials Research Express |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2053-1591/ae1dce |
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