Computational and AI-Driven Design of Hydrogels for Bioelectronic Applications

Abstract

As hydrogel research progresses, hydrogels are becoming essential tools in bioelectronics and biotechnology. This review explores the diverse range of natural and synthetic gel materials tailored for specific bioelectronic applications, with a focus on their integration with electronic components to create responsive, multifunctional systems. The role of Artificial Intelligence (AI) in advancing gel design and functionality from optimizing material properties to enabling precise, predictive modeling is investigated. Furthermore, recent innovations that harness the synergy between hydrogels, electronics, and AI are discussed, emphasizing the potential of these materials to drive future advances in biomedical technologies. AI-driven approaches are transforming the development of hydrogels for applications in wound healing, biosensing, drug delivery, and tissue engineering.