Research Keyword: nonlinear modeling

Artificial Neural Network Prediction of Mechanical Properties in Mycelium-Based Biocomposites

Scientists developed an artificial intelligence model that can predict how strong and durable mushroom-based composite materials will be. These composites are made by growing mushroom mycelium (fungal threads) through wood particles and other plant materials, creating an eco-friendly alternative to synthetic materials. The AI model learns from physical measurements and can accurately predict mechanical properties, potentially reducing the need for extensive testing and helping design better sustainable materials.

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Artificial intelligence-assisted optimization of extraction enhances the biological activity of Phylloporia ribis

Scientists optimized how to extract beneficial compounds from Phylloporia ribis mushrooms using artificial intelligence, finding that an AI-assisted method produced extracts with stronger antioxidant power and cancer-fighting properties than traditional statistical approaches. The optimized extracts showed promise in fighting free radicals, potentially supporting brain health against Alzheimer’s disease, and slowing cancer cell growth. This research demonstrates how combining mushroom extraction with modern AI technology could lead to more effective natural medicines.

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