Intelligent system for accurate evaluation of bone-regenerative materials by overcoming spatial deviations of bone defects

Preclinical animal models are critical for screening innovative orthopedic biomaterials for clinical translation, yet challenges with accuracy and reproducibility persist. Our study revealed that even minor spatial deviations in modeling can significantly impact bone regeneration evaluation outcomes. To address this, we developed the InstaMaster Modeling Kit, a high-precision modeling device that limits positional discrepancies to within 200 μm, about 1/10 of the deviation range reported in the literature, ensuring high reproducibility. The accompanying analysis platform offers standardized assessments of biomaterial-induced bone regeneration, thereby facilitating cross-study comparisons. Our findings reveal that the mechanical environment of different modeling sites determine bone regeneration patterns, offering insights for choosing appropriate modeling sites in biomaterials assessment. By enhancing both modeling accuracy and assessment objectivity, our intelligent system provides more sensitive and credible evaluation of bone-regenerative materials, potentially advancing their clinical translation.