AIMC Topic: Fungi

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Innovative infrastructure to access Brazilian fungal diversity using deep learning.

PeerJ Jul 9, 2024
In the present investigation, we employ a novel and meticulously structured database assembled by experts, encompassing macrofungi field-collected in Brazil, featuring upwards of 13,894 photographs representing 505 distinct species. The purpose of ut...
Neural Networks, Computer Databases, Factual Fungi Biodiversity Brazil Deep Learning
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Ensemble learning algorithms to elucidate the core microbiome's impact on carbon content and degradation properties at the soil aggregate level.

The Science of the total environment Jul 4, 2024
Soil aggregates are crucial for soil organic carbon (OC) accumulation. This study, utilizing a 32-year fertilization experiment, investigates whether the core microbiome can elucidate variations in carbon content and decomposition across different ag...
Fungi Fertilizers Carbon Microbiota Algorithms Soil Bacteria Soil Microbiology Machine Learning
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Hitac: a hierarchical taxonomic classifier for fungal ITS sequences compatible with QIIME2.

BMC bioinformatics Jul 2, 2024
BACKGROUND: Fungi play a key role in several important ecological functions, ranging from organic matter decomposition to symbiotic associations with plants. Moreover, fungi naturally inhabit the human body and can be beneficial when administered as ...
Fungi DNA, Ribosomal Spacer Machine Learning Software
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Rapid Mold Detection in Chinese Herbal Medicine Using Enhanced Deep Learning Technology.

Journal of medicinal food Jun 26, 2024
Mold contamination poses a significant challenge in the processing and storage of Chinese herbal medicines (CHM), leading to quality degradation and reduced efficacy. To address this issue, we propose a rapid and accurate detection method for molds i...
Electronic Nose Atractylodes Deep Learning Drugs, Chinese Herbal Fungi Drug Contamination
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Random forest machine-learning algorithm classifies white- and brown-rot fungi according to the number of the genes encoding Carbohydrate-Active enZyme families.

Applied and environmental microbiology Jun 4, 2024
UNLABELLED: Wood-rotting fungi play an important role in the global carbon cycle because they are the only known organisms that digest wood, the largest carbon stock in nature. In the present study, we used linear discriminant analysis and random for...
Machine Learning Algorithms Fungi Lignin Cellulose Random Forest Wood Fungal Proteins Carbohydrate Metabolism
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Identification of Microorganism in Infected Wounds by Positively Charged Selective Sensor Array and Deep Learning Algorithm.

Analytical chemistry May 3, 2024
Microorganism are ubiquitous and intimately connected with human health and disease management. The accurate and fast identification of pathogenic microorganisms is especially important for diagnosing infections. Herein, three tetraphenylethylene der...
Gram-Positive Bacteria Wound Infection Stilbenes Gram-Negative Bacteria Humans Deep Learning Fluorescent Dyes Fungi
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Exploring the infiltrative and degradative ability of Fusarium oxysporum on polyethylene terephthalate (PET) using correlative microscopy and deep learning.

Scientific reports Dec 27, 2023
Managing the worldwide steady increase in the production of plastic while mitigating the Earth's global pollution is one of the greatest challenges nowadays. Fungi are often involved in biodegradation processes thanks to their ability to penetrate in...
Microscopy, Electron, Scanning Fungi Deep Learning Fusarium Polyethylene Terephthalates
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Pestalotiopols E-J, Six New Polyketide Derivatives from a Marine Derived Fungus sp. SWMU-WZ04-1.

Marine drugs Dec 26, 2023
Chemical epigenetic cultivation of the sponge-derived fungus sp. SWMU-WZ04-1 contributed to the identification of twelve polyketide derivatives, including six new pestalotiopols E-J (-) and six known analogues (-). Their gross structures were deduce...
Polyketides Pestalotiopsis Fungi Anti-Bacterial Agents Humans Bacillus subtilis
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Artificial Intelligence: Exploring utility in detection and typing of fungus with futuristic application in fungal cytology.

Cytopathology : official journal of the British Society for Clinical Cytology Nov 16, 2023
Artificial Intelligence (AI) is an emerging, transforming and revolutionary technology that has captured attention worldwide. It is translating research into precision oncology treatments. AI can analyse large or big data sets requiring high-speed sp...
Mycoses Fungi Cytodiagnosis Humans Artificial Intelligence
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Sooty Mold Detection on Citrus Tree Canopy Using Deep Learning Algorithms.

Sensors (Basel, Switzerland) Oct 17, 2023
Sooty mold is a common disease found in citrus plants and is characterized by black fungi growth on fruits, leaves, and branches. This mold reduces the plant's ability to carry out photosynthesis. In small leaves, it is very difficult to detect sooty...
Trees Citrus Deep Learning Fungi Algorithms
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