Usefulness of approved and newly emerging non-cultural assays for early detection of invasive fungal infections in pediatric patients: A scoping review [0.03%]
儿科患者侵袭性真菌感染早期诊断的获批和新出现的非文化检测方法的作用：系统综述
Jarom Kuhre,Manav Jain,Sheri Hohmann et al.
Jarom Kuhre et al.
Introduction and objective: Invasive fungal infections (IFI) affect millions worldwide, especially the immunocompromised and pediatric patients. The standard fungal culture has low sensitivity and is slow for fungal ident...
Exploring the potential of postbiotic Limosilactobacillus fermentum as a novel therapeutic agent for Candida albicans [0.03%]
探究后生物Limosilactobacillus fermentum作为新型抗真菌剂治疗白色念珠菌的潜力
Guhanraj Radhamanalan,Sowmiya Soundararajan,Ragothaman Prathiviraj et al.
Guhanraj Radhamanalan et al.
Dental caries, a prevalent chronic condition that affects the oral cavity and systemic health of children (7-15 y) and adolescents (16-24 y), can significantly reduce their quality of life. In this study, 120 dental caries samples were coll...
Evaluation of in-vitro growth assays for Batrachochytrium dendrobatidis revealed methylene blue colorimetry is the most accurate [0.03%]
体外培养试验评估表明：染料甲基蓝比菌落面积更能准确反映白纹南芽殖酵母的生长状况
Kashmini Kaushalya Sumanasekera,Lee Francis Skerratt,Lee Berger et al.
Kashmini Kaushalya Sumanasekera et al.
Batrachochytrium dendrobatidis (Bd) is a destructive fungal pathogen, having caused the global decline and extinction of numerous amphibian species. Robust methodologies to accurately measure fungal growth in-vitro are needed for experiment...
Application of audible acoustic stimulation to investigate growth responses in three Pleurotus species [0.03%]
听觉声刺激在三种平菇生长响应中的应用研究
Raymond Place,Laura Kunz,Benedikt Sager et al.
Raymond Place et al.
Acoustic stimulation can influence microbial growth and metabolism, yet little is known about its impact on edible mushrooms of the genus Pleurotus. This study evaluated the effects of audible sound waves on yield and fructification in thre...
Promising diagnostic performance of a commercial qPCR assay for Plasmodium vivax detection: Contributing to malaria control and elimination [0.03%]
一项商业qrt PCR检测试剂盒在检测间日疟原虫中的应用前景：助力 malaria 的控制与消除
Marcelo Cerilo-Filho,Marrara P Sampaio,Maria Naely G Almeida et al.
Marcelo Cerilo-Filho et al.
This study evaluated a commercial qPCR assay for P. vivax detection. Among 167 samples, the assay showed greater sensitivity than microscopy, detecting three additional positives. It also demonstrated high specificity and no cross-reactivit...
Artificial intelligence in metagenome-assembled genome reconstruction: Tools, pipelines, and future directions [0.03%]
人工智能在宏基因组从头组装基因组重建中的应用：工具、流程及未来方向
Kalpana Sagar,Km Priti,Harish Chandra
Kalpana Sagar
Metagenomic sequencing has revolutionised the field of microbial ecology, as it has led to cultivation-independent exploration of complicated microbial communities. The assembly of metagenome-assembled genomes has provided genome-scale info...
Optimization of antimicrobial compound production by mangrove sediment derived Micromonospora sp. BSS-D-04 and Streptomyces sp. BSS-D-05 using response surface methodology [0.03%]
响应面法优化从红树沉积物中分离的Micromonospora sp. BSS-D-04和Streptomyces sp. BSS-D-05抗生素化合物的生产
Dipransu Pradhan,Mihir Tanay Das
Dipransu Pradhan
In response to the growing global health crisis caused by antibiotic resistance, actinobacteria have emerged as a promising group of microorganisms capable of producing diverse and potent bioactive compounds. India's mangrove ecosystems, kn...
Roadmap for emerging antimicrobial susceptibility testing and its clinical adaptation, from bench to bedside [0.03%]
抗菌药物敏感性测试新兴技术的临床应用及转化之路——从实验台到病床边
Pradhapsingh Bharathiraja,Elavarasan Tamilmani
Pradhapsingh Bharathiraja
The rapid emergence of antimicrobial resistance (AMR) underscores the urgent need for accurate and timely antimicrobial susceptibility testing (AST) to guide effective antibiotic treatment. Currently, various AST techniques have evolved, ho...
Developing machine learning classifiers for carbapenem resistance prediction in Klebsiella pneumoniae using Google's teachable machine [0.03%]
使用Google的Teachable Machine开发机器学习分类器以预测肺炎克雷伯菌的碳青霉烯耐药性
João V O Cruz,Felipe G Sacoda,Vitor H Moreau et al.
João V O Cruz et al.
We developed neural network models trained with images from Klebsiella pneumoniae genomes, encoded via Chaos Game Representation, to predict carbapenem resistance. Both real (n = 168) and synthetic AI-generated (n = 200) images were used. T...
Identification and characterization of cephalosporin-resistant Klebsiella pneumoniae by SERS: Insights into antimicrobial resistance patterns [0.03%]
表面增强拉曼散射技术鉴别和表征头孢菌素耐药肺炎克雷伯氏菌：抗菌模式的新见解
Benish Saif,Zainab Iftikhar,Haq Nawaz et al.
Benish Saif et al.
The infectious bacteria, K. pneumoniae has broken another defence line by showing resistance to cephalosporin antibiotics, due to presence of extended-spectrum lactamases ESBL resistance genes. Surface-enhanced Raman spectroscopy (SERS) is ...