Research Keyword: clinical application

Purification and Biochemical Characterization of a Novel Fibrinolytic Enzyme from Culture Supernatant of Coprinus comatus

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Scientists discovered and purified a powerful enzyme from the medicinal mushroom Coprinus comatus that can dissolve blood clots and prevent dangerous blood vessel blockages. This enzyme works in two ways: it can directly break down clots and also activate the body’s natural clot-dissolving systems. The enzyme is much smaller and safer than current blood-thinning medications, making it a promising natural alternative for treating heart disease and stroke.

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Immunomodulatory Effects of Edible and Medicinal Mushrooms and Their Bioactive Immunoregulatory Products

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Mushrooms have been used for health for thousands of years and contain special compounds that help boost the immune system and fight cancer. Scientists have identified several key active ingredients in mushrooms like polysaccharides and proteins that can activate immune cells and reduce tumors. Some mushroom products like lentinan from shiitake mushrooms have already been approved as cancer treatments in Japan. While most evidence comes from lab studies, ongoing research suggests mushroom-based medicines could become important therapeutic options.

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Mycelium Growth and Development of Psilocybe spp. Mother Cultures on Agar-Based Media

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This research examines how different growing media affect four types of psilocybin mushrooms. The study found that malt extract agar worked best for some mushroom types while potato-based media worked better for others. Commercial powdered potato media performed poorly, especially for one sensitive strain. These findings help optimize mushroom cultivation for therapeutic and commercial purposes.

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Deep learning application to hyphae and spores identification in fungal fluorescence images

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Researchers developed an artificial intelligence system using two deep learning models to automatically identify fungal infections in microscope images. The system analyzes fluorescence-stained samples to detect fungal spores, hyphae, and mycelium with accuracy matching experienced doctors. This automated approach can significantly reduce the time clinicians spend examining samples and help prevent misdiagnosis, especially in hospitals with fewer specialist technicians.

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