AIMC Topic: Fungi

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Artificial Intelligence Techniques to Computational Proteomics, Genomics, and Biological Sequence Analysis.

Current protein & peptide science Jan 1, 2020
Gene Regulatory Networks Bacteria Humans Artificial Intelligence Gene Expression Regulation Genome Computational Biology Fungi
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Evaluation of a protocol for reducing the microbial contamination of dental unit water.

Acta odontologica latinoamericana : AOL Dec 1, 2018
Biofilm on dental unit waterlines can spread microbial contamination in the water. The aim of this study was to investigate microbial contamination of water from supplies and dental units before and after the implementation of a protocol for microbia...
Water Microbiology Bacterial Load Fungi Biofilms Dental Equipment Decontamination Colony Count, Microbial Equipment Contamination
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Microbiological contamination in digital radiography: evaluation at the radiology clinic of an educational institution.

Acta odontologica latinoamericana : AOL Dec 1, 2016
The aim of this study was to evaluate the contamination rate of intra and extraoral digital X ray equipment in a dental radiology clinic at a public educational institution. Samples were collected on three different days, at two times in the day: in ...
Bacteria Disinfection Fungi Humans Radiography, Panoramic Equipment Contamination Radiography, Dental, Digital
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[Screening and identification of antioxidant endophytes from Lycium barbarum of Ningxia].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica Oct 1, 2015
In this paper, 29 endophytes were isolated from different organs and tissues of Lycium barbarum of Ningxia by tablet coating method, 18 of them was fungi, and 11 of them was actinomycetes. The endophytes quantity in the different tissues were leaves ...
Biodiversity Molecular Sequence Data Endophytes Lycium Oxidation-Reduction Fungi Bacteria Antioxidants
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Automatic identification of fungi under complex microscopic fecal images.

Journal of biomedical optics Jul 1, 2015
Automatic identification of fungi in microscopic fecal images provides important information for evaluating digestive diseases. To date, disease diagnosis is primarily performed by manual techniques. However, the accuracy of this approach depends on ...
Image Processing, Computer-Assisted Neural Networks, Computer Microscopy Humans Mycological Typing Techniques Fungi Feces
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Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2015
BACKGROUND: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model anal...
Follow-Up Studies Neoplasm Staging Adenocarcinoma Carcinoma, Non-Small-Cell Lung Cross Infection Carcinoma, Large Cell Mycoses Fungi Incidence Female ROC Curve Carcinoma, Squamous Cell Lung Neoplasms Risk Factors Logistic Models Aged Male Small Cell Lung Carcinoma Prognosis Middle Aged Retrospective Studies Aged, 80 and over Humans Adult Neural Networks, Computer
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