Research Keyword: pattern recognition

Protein kinase A signaling regulates immune evasion by shaving and concealing fungal β-1,3-glucan

Candida albicans, a common fungal pathogen, uses a clever strategy to hide from the immune system by masking a molecule on its surface that would normally trigger an immune response. Researchers used both computer modeling and laboratory experiments to show that this hiding strategy involves two main processes: the fungus grows and exposes the molecule, while simultaneously using enzymes to shave it away. They found that a cellular signaling pathway called PKA is essential for activating these shaving enzymes in response to lactate, a signal from the host environment.

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

Researchers developed an artificial intelligence system that can automatically identify fungal infections in microscope images as accurately as experienced doctors. The system uses two different AI models working together to spot fungal spores, thread-like hyphae, and mycelium in fluorescence images. This technology could significantly reduce the time doctors spend analyzing samples and help ensure more accurate diagnoses, especially in hospitals with fewer experienced specialists.

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Fungal β-Glucans: Biological Properties, Immunomodulatory Effects, Diagnostic and Therapeutic Applications

β-glucans are natural substances found in yeast and fungi that help boost the immune system and fight cancer. They can be measured in blood to diagnose serious fungal infections and may help prevent common illnesses like colds and respiratory infections. Recent research suggests they could be useful additions to vaccines and may help patients recovering from COVID-19.

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