Artificial intelligence – Page 2

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.

Breaking down biofilms across critical priority fungal pathogens: proteomics and computational innovation for mechanistic insights and new target discovery

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Fungal infections like cryptococcal meningitis and invasive aspergillosis are becoming increasingly difficult to treat because fungi form protective structures called biofilms that resist our current medications. Researchers are using advanced techniques like mass spectrometry to identify the proteins that help fungi build these biofilms, combined with artificial intelligence tools to design new drugs that could break down these protective shields. This combined approach offers hope for developing better antifungal treatments that could save millions of lives.

Research Topic: Artificial intelligence

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

Breaking down biofilms across critical priority fungal pathogens: proteomics and computational innovation for mechanistic insights and new target discovery