ARTIFICIAL INTELLIGENCE IN TISSUE ENGINEERING: SMART BIOMATERIALS AND PREDICTIVE MODELING FOR REGENERATIVE MEDICINE

Tissue engineering has revolutionized regenerative medicine by enabling the development of functional tissues and organs. However, challenges such as designing complex threedimensional (3D) structures and optimizing biomaterials remain significant. Artificial intelligence (AI) has emerged as a transformative tool in tissue engineering, offering solutions in computational modeling, biomaterial design, cell culture optimization, and personalized medicine. Smart biomaterials, which dynamically interact with biological environments, further enhance tissue integration and therapeutic efficacy. AI-driven predictive modeling accelerates biomaterial development by optimizing compositions, improving bioink formulations, and reducing experimental costs. Despite its promise, AI integration in biomaterials research faces challenges, including ethical concerns, data limitations, and the interpretability of models. Addressing these issues through data standardization, collaboration, and explainable AI will be crucial for advancing AI-assisted tissue engineering. This synergy between AI and biomaterials holds great potential for personalized and efficient regenerative therapies. This communication delineates the role of artificial intelligence in tissue engineering, smart biomaterials and predictive modeling for regenerative medicine.