AIMC Topic: Arthrodermataceae

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Novel B-DNA dermatophyte assay for demonstration of canonical DNA in dermatophytes: Histopathologic characterization by artificial intelligence.

Clinics in dermatology Jan 6, 2024
We describe a novel assay and artificial intelligence-driven histopathologic approach identifying dermatophytes in human skin tissue sections (ie, B-DNA dermatophyte assay) and demonstrate, for the first time, the presence of dermatophytes in tissue ...
Humans Artificial Intelligence Sensitivity and Specificity Skin Immunohistochemistry DNA, Fungal Tinea Arthrodermataceae Dermatomycoses
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Machine Learning Data Augmentation as a Tool to Enhance Quantitative Composition-Activity Relationships of Complex Mixtures. A New Application to Dissect the Role of Main Chemical Components in Bioactive Essential Oils.

Molecules (Basel, Switzerland) Oct 17, 2021
Scientific investigation on essential oils composition and the related biological profile are continuously growing. Nevertheless, only a few studies have been performed on the relationships between chemical composition and biological data. Herein, th...
Machine Learning Anti-Infective Agents Phylogeny Oils, Volatile Structure-Activity Relationship Data Collection Complex Mixtures Microsporum Arthrodermataceae
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Automated detection of superficial fungal infections from microscopic images through a regional convolutional neural network.

PloS one Aug 17, 2021
Direct microscopic examination with potassium hydroxide is generally used as a screening method for diagnosing superficial fungal infections. Although this type of examination is faster than other diagnostic methods, it can still be time-consuming to...
Humans Deep Learning ROC Curve Skin Microscopy Image Interpretation, Computer-Assisted Datasets as Topic Nails Hydroxides Hyphae Potassium Compounds Arthrodermataceae Dermatomycoses
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