Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Antimicrobial Effectiveness

Antimicrobial Effectiveness

The effectiveness of antimicrobial agents depends on various factors influencing their ability to eliminate microbial populations. Larger microbial populations require more time for complete eradication, emphasizing the importance of population size analysis when evaluating antimicrobial efficacy.Microbial resistance to antimicrobial agents varies significantly. Highly resilient microorganisms include endospores, gram-negative bacteria, and non-enveloped viruses, while prions are exceptionally...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Realizing Excellent Thermoelectric Performance in Band-Converged GeTe-based Materials by Entropy and Vacancy Co-Tuning Engineering.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

Electroacupuncture Alleviates Focal Cerebral Ischemia-Reperfusion Injury and Is Associated With Modulation of Autophagy-Ferroptosis Involving the STAT3/HIF-1α Signalling Pathway.

Clinical and experimental pharmacology & physiology·2026

Same author

Lactate to albumin ratio and 30-day mortality in ICU patients with influenza: a single-center retrospective cohort.

Virology journal·2026

Same author

Dietary yacon concentrate reshapes microbial-metabolite crosstalk to inhibit colorectal cancer.

NPJ science of food·2026

Same author

Design, Synthesis, Antifungal Activity, and Action Mechanism of Novel l-Perillyl Alcohol Derivatives Containing a Piperazine Moiety.

Journal of agricultural and food chemistry·2026

Same author

CDK8 phosphorylation of DELLA limits Mediator recruitment in gibberellin signaling.

bioRxiv : the preprint server for biology·2026

Search research articles

相关实验视频

Updated: Jun 6, 2025

Evaluation of Antimicrobial Activities of Nanoparticles and Nanostructured Surfaces In Vitro

Evaluation of Antimicrobial Activities of Nanoparticles and Nanostructured Surfaces In Vitro

Published on: April 21, 2023

一种监督机器学习工具,用于预测纳米结构表面的杀菌效率.

Yaxi Chen¹, Hongyi Chen², Anthony Harker³

¹Department of Mechanical Engineering, University College London, London, UK.

Journal of nanobiotechnology

|December 2, 2024

概括

机器学习模型预测了纳米结构表面的抗微生物潜力. 这些模型,达到81%的准确性,突出纳米拓作为机械杀菌效应的关键,有助于高效的表面设计.

关键词:

抗微生物性质抗微生物性质机器学习是机器学习.它具有机械杀菌活性.纳米拓绘图 (Nanotopography) 是一种纳米拓绘图.

更多相关视频

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Published on: October 25, 2013

Surface Potential Measurement of Bacteria Using Kelvin Probe Force Microscopy

Surface Potential Measurement of Bacteria Using Kelvin Probe Force Microscopy

Published on: November 28, 2014

相关实验视频

Last Updated: Jun 6, 2025

Evaluation of Antimicrobial Activities of Nanoparticles and Nanostructured Surfaces In Vitro

Evaluation of Antimicrobial Activities of Nanoparticles and Nanostructured Surfaces In Vitro

Published on: April 21, 2023

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Published on: October 25, 2013

Surface Potential Measurement of Bacteria Using Kelvin Probe Force Microscopy

Surface Potential Measurement of Bacteria Using Kelvin Probe Force Microscopy

Published on: November 28, 2014

科学领域:

生物材料科学生物材料科学
纳米技术纳米技术
机器学习应用机器学习应用

背景情况:

耐多药细菌对公众健康构成重大威胁.
受大自然启发的机械杀菌表面提供了一个有前途的抗菌策略.
了解纳米结构表面的参数协同作用对于优化有效性至关重要.

研究的目的:

通过机器学习研究纳米结构表面的抗菌潜力.
开发用于杀菌效率的预测模型.
确定影响机械杀菌效果的关键因素.

主要方法:

文献数据提取以构建纳米结构表面及其抗菌性质的数据集.
开发一种具有70%杀菌效率基准的机器学习分类模型.
创建一个机器学习回归模型来预测杀菌效率值.
功能重要性分析,以确定具有影响力的表面参数.

主要成果:

一个分类模型在预测杀菌性质方面达到81%的准确性.
纳米拓特征被认为比材料属性更有影响力.
这些模型提供了关于机械杀菌效应原理的见解.

结论:

机器学习有效地预测了纳米结构表面的抗微生物潜力.
纳米拓是提高机械杀菌活性的关键设计元素.
这种ML工具可以加快抗菌表面的设计和选择,减少实验成本和时间.