4D-Printed Shape-Memory Architectures for Biomedical Devices and Morphing Systems

Hinewairua Jones · Cultech Publishing Sdn. Bhd. · 2025

This review explores 4D-printed shape-memory architectures and their transformative applications in biomedical devices and morphing systems.

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Plain English summary

The paper reviews the advancements in 4D printing technology, which allows objects to change shape and functionality over time in response to stimuli. It focuses on shape-memory polymers and their applications in biomedical devices like self-fitting implants and smart drug delivery systems. The review also discusses various 4D printing techniques and their advantages and limitations.

Why this matters

This research is significant as it highlights the potential of 4D printing to create adaptive and personalized medical solutions, which can improve patient outcomes. The integration of smart materials in healthcare can lead to innovative devices that respond dynamically to the needs of patients.

Key findings

  • 4D printing synergizes 3D printing design freedom with smart material capabilities.
  • Shape-memory polymers play a critical role in the functionality of 4D-printed devices.
  • Applications include self-fitting implants and programmable stents.
  • Challenges include material biocompatibility and printing resolution.
  • Future research may focus on multi-stimuli responsiveness and industrial adoption.

What's new

The review provides a comprehensive analysis of 4D printing techniques and their specific applications in biomedicine and engineering, emphasizing the transformative potential of shape-memory architectures.

Limitations

The abstract mentions challenges such as material biocompatibility and long-term stability but does not provide detailed solutions or data.

Commercial context

The abstract does not indicate the current commercial status of the technologies discussed.

Publication

Publisher
Cultech Publishing Sdn. Bhd.
Publication date
November 13, 2025
Research type
Paper
License
https://creativecommons.org/licenses/by/4.0/

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18