3D-printed self-healing hydrogels represent a significant advancement in regenerative medicine. Long-lasting, patient-tailored tissue scaffolds that evolve with native tissues may result. Preventing unwanted biomaterial growth is a major concern. The "Printability-Healing Paradox" is the central challenge, involving a trade-off between rheological properties for high-fidelity 3D printing and dynamic network features for self-healing. Resolving the paradox requires understanding hydrogel bioinks, chemical tools for self-healing (e.g., Schiff base, Diels-Alder, and hydrogen bonding), and rheological requirements for printability (e.g., shear-thinning and yield stress). Our review has explored advanced material design strategies, including multi-network architectures, nanocomposite reinforcement, and orthogonal crosslinking chemistries, to address this issue. Case studies in neuro, musculoskeletal, and cutaneous tissue engineering demonstrated how these methods might improve tissue-specific bio-functionality and alleviate problems. Designing smart materials is crucial for the profession to address the Printability-Healing Paradox. Developing multi-material printing platforms, AI-driven bioink design, and 4D characteristics will enable therapeutic structures that mimic biological organisms and adapt to the body.
Kumar et al. (Mon,) studied this question.