osmetics, and biomedical materials. However, traditional research heavily relies on trial-and-error screening, which is limited by challenges in elucidating structure–function relationships, low preparation efficiency, and poor application adaptability. The integration of artificial intelligence (AI) has provided a critical pathway to overcome these constraints. This review outlines recent AI applications in polysaccharide research, discusses current challenges, and identifies future trends. For polysaccharide extraction, AI employs models such as artificial neural networks and genetic algor
原文链接：https://ift.onlinelibrary.wiley.com/doi/10.1111/1541-4337.70379