Research Keyword: mycological taxonomy

Advancing automated identification of airborne fungal spores: guidelines for cultivation and reference dataset creation

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Researchers developed standardized procedures to grow fungal spores in laboratories and prepare them for testing with automated detection devices. They tested 17 different fungal species commonly found in the air and created reference datasets to train computer algorithms to identify these spores. Two different detection technologies were evaluated, showing promising accuracies (55-95%) for identifying various fungal spores. This work provides a blueprint for other scientists to create reliable training data for automated air quality monitoring systems that track allergens and disease-causing fungi.

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Essential Oils as an Antifungal Alternative to Control Several Species of Fungi Isolated from Musa paradisiaca: Part II

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This research tested six common culinary essential oils to see if they could prevent fungi from growing on bananas after harvest. Scientists identified four types of harmful fungi that cause banana rot and tested how well oregano, rosemary, clove, thyme, cinnamon, and basil oils could stop them. The results showed that cinnamon, clove, and oregano oils were most effective at stopping fungal growth, offering a natural alternative to chemical fungicides that consumers want to avoid.

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Spectrum of Fungal Infections in Continuous Ambulatory Peritoneal Dialysis: A 20-Year Retrospective Study From a Tertiary Care Center

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This study examined fungal infections in patients undergoing continuous ambulatory peritoneal dialysis (CAPD) over 20 years at a major Indian hospital. Researchers identified various fungal species causing peritonitis, with Candida species being most common, but discovered increasingly rare fungi involved in these infections. The study found that proper identification of the specific fungus and testing for drug resistance is crucial for effective treatment, typically involving catheter removal and targeted antifungal medications.

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First case of invasive Rasamsonia argillacea in a child with chronic granulomatous disease in Qatar

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A 16-year-old girl with a rare immune system disorder called chronic granulomatous disease developed a serious fungal infection caused by Rasamsonia argillacea, a fungus that is not commonly seen in clinical practice. The infection presented as a painful collection in her chest wall that required surgery and multiple antifungal medications. This is the first reported case of this particular fungal infection in the Arabian Peninsula, and successful treatment required a combination of drugs chosen based on laboratory testing of the fungus’s resistance patterns.

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Deep Ensemble Learning and Explainable AI for Multi-Class Classification of Earthstar Fungal Species

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Scientists created an artificial intelligence system that can identify eight types of earthstar mushrooms from photographs with over 96% accuracy. These mushrooms look very similar to each other, making them difficult to tell apart by eye alone. The AI system not only identifies the mushrooms correctly but also shows which parts of the image it looked at to make its decision, making it transparent and trustworthy. This technology could help scientists monitor wild mushroom populations and improve sustainable farming practices.

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