AI-Driven Biomaterial Design: An Intelligent Closed Loop From Reverse Design to Biological Response

The article discusses how artificial intelligence (AI) is transforming biomaterial design by addressing traditional challenges such as high costs and long development cycles. AI's ability to handle complex data allows for four key applications: generating material formulations based on therapeutic needs, reducing development costs through high-throughput prediction and virtual screening, enhancing material performance and production efficiency, and predicting interactions between materials and biological systems to ensure safety and efficacy. This integration of AI into biomaterial design supports the advancement of personalized and precision medicine.