Results 211 to 220 of about 255,611 (316)

microeco 2: A comprehensive R package for downstream analysis of microbiome omics data

iMeta, EarlyView.
The current version 2.0 of the microeco package represents a substantial update compared to the previously published version. Key enhancements include the addition of new classes, integration of a broader suite of analytical methods, a comprehensive overhaul of the parameter system, improved connectivity between statistical analysis and visualization ...
Chi Liu, Xiangzhen Li, Felipe R. P. Mansoldo, Tong Chen, Fanzheng Meng, Ruixiang Tang, Siyu Zhou, Qinghua Yang, Ruixin Shao, Minjie Yao   +9 more
wiley   +1 more source

Early detection of fungal infection of Arabidopsis and brassica by Raman spectroscopy. [PDF]

Front Plant Sci
Kuo SY, Chiu LY, Jain E, Singh GP, Bin Jamaludin MNS, Ram RJ, Chua NH.   +6 more
europepmc   +1 more source

Systemic fungal infections in renal diseases.

, 2005
Bhupendra Gandhi, Madan M. Bahadur, H. Dodeja, V. Aggrwal, Aseem Thamba, Marcelo Amaral Mali   +5 more
openalex   +1 more source

Multi‐omics biomarkers for intestinal infection and inflammation in inflammatory bowel disease: Current evidence, translational challenges, and diagnostic opportunities

Interdisciplinary Medicine, EarlyView.
Prospective multi‐site cohorts, multi‐omics profiling, and computational analysis may help identify biomarker patterns across clinical settings in IBD and superimposed infections. With further mechanistic and clinical validation, these signals could support the development of practical multi‐analyte tools for more precise diagnosis and management ...
Ziyu Yang, Jiayi Yao, Xinxian Zhao, Yan Xu, Yifan Chen, Tianchi Chen, Ying Jian, Min Li   +7 more
wiley   +1 more source

Epidemiological shifts and advances in research on early diagnosis of invasive fungal infection in critically ill patients. [PDF]

Front Cell Infect Microbiol
Cao Y, Li Y, Wang M, Wu Y, Shi S, Wang C, Gao Z, Yang W, Wang L, Kang H.   +9 more
europepmc   +1 more source

Phenotypic and Molecular Characterization of Naganishia uzbekistanensis: Diagnostic Challenges and Antifungal Resistance Profile

Journal of Clinical Laboratory Analysis, EarlyView.
The graphical abstract summarizes the laboratory characterization of Naganishia uzbekistanensis strain CY11558. The isolate shows distinct colony morphology, globular yeast cells with a fibrillar surface network under scanning electron microscopy, and a weakly positive cryptococcal antigen reaction.
Xin Fan, Xinfei Chen, Jin Li, Rongchen Dai, Pengjie Hu, Li Gu, Meng Xiao, Xiaomin Yu   +7 more
wiley   +1 more source

Novel model to predict risk of invasive fungal infection and fungal prophylaxis timing. [PDF]

Microbiol Spectr
Zuo X, Ma X, Zhang M, Mao R, Ma J.
europepmc   +1 more source

Disentangling Temporal and Environmental Effects on Hematological Values in Prairie Rattlesnakes (Crotalus viridis)

Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, EarlyView.
ABSTRACT Hematologic assessment is a common clinical tool used to characterize both individual and population health. In ectothermic organisms, the hematologic response is influenced by external factors such as temperature and season, especially in temperate species. Yet, specific environmental effects have received little direct attention.
Ethan J. Kessler, Sarah J. Baker, Ellen Haynes, Amy N. Schnelle, Matthew C. Allender   +4 more
wiley   +1 more source

Analysis of a rare case of vaginitis caused by Trichomonas vaginalis combined with fungal infection. [PDF]

BMC Infect Dis
Chen C, Wang Q.
europepmc   +1 more source

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He, Nan Su, Yuqing Wang, Yulin Sun, Xin Weng, Tania Pereira, Chenggong Hu, Keliang Xie, Meijun Pang, Kuo Zhang, Chuanxiang Huang, Xiuyun Liu   +11 more
wiley   +1 more source