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This work bridges biology and engineering, offering a practical, scalable solution to integrate diverse materials. It stands as a promising step forward for both material science and the future of soft robotics.

The research combines hands-on experiments with theoretical models to predict bond strength and failure modes. This dual approach provides clear insights into how underextrusion creates a durable interlocking mechanism.

By deliberately reducing the extrusion rate, the printer creates microfibers that interlock with silicone, bypassing the limitations of conventional adhesives. The resulting porous structure improves the bond without complex chemical treatments.

Overall, this work opens a path toward more personalized treatment strategies in pancreatic cancer. It encourages further studies aimed at refining therapeutic approaches based on specific KRAS mutation profiles.

Future steps may involve integrating clinical and genomic data for more personalized predictions. This study paves the way for a new era of computational drug discovery grounded in network science.

RT @bioloGPT: Studies comparing individuals with mood disorders to healthy controls have found distinct differences in gut microbial commun…