Research Keyword: genetic algorithms

Ultrasound-assisted extraction of neuroprotective antioxidants from Ganoderma lucidum

This research studied how to best extract healing compounds from the reishi mushroom (Ganoderma lucidum), an important traditional Chinese medicine. Using advanced extraction techniques and computer modeling, scientists identified optimal conditions that doubled the amount of beneficial antioxidants obtained compared to conventional methods. They then tested these extracts on nerve cells in the laboratory, demonstrating that the extracts effectively protected cells from oxidative damage and injury.

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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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