AI Article Synopsis
- * This study uses natural language processing to pinpoint six key emerging areas in nanoscale materials for medical use: self-healing, bioelectronic, programmable, lipid-based, protein-based, and antibacterial materials.
- * The focus is on how these nanoscale materials enhance properties for human tissue interaction and enable complex functions such as programmable drug delivery.
Article Abstract
The realm of biomedical materials continues to evolve rapidly, driven by innovative research across interdisciplinary domains. Leveraging big data from the CAS Content Collection, this study employs quantitative analysis through natural language processing (NLP) to identify six emerging areas within nanoscale materials for biomedical applications. These areas encompass self-healing, bioelectronic, programmable, lipid-based, protein-based, and antibacterial materials. Our Nano Focus delves into the multifaceted utilization of nanoscale materials in these domains, spanning from augmenting physical and electronic properties for interfacing with human tissue to facilitating intricate functionalities like programmable drug delivery.
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| http://dx.doi.org/10.1021/acsnano.4c04514 | DOI Listing |
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