Smart Stimuli-Responsive Drug Delivery Systems for Advanced Diabetes Management

Km. Preeti Jaiswal, Monika, Rupa Mazumder, Avijit Mazumder · Bentham Science Publishers Ltd. · 2026

Smart stimuli-responsive drug delivery systems can enhance diabetes management by providing precise, on-demand medication release.

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Plain English summary

This research reviews smart drug delivery systems that respond to physiological cues for diabetes management. These systems aim to release medication like insulin only when needed, improving patient compliance and reducing side effects. The review highlights advancements in biomaterials and nanotechnology that enhance the effectiveness and safety of these systems.

Why this matters

Diabetes management often involves challenges like inconsistent medication levels and side effects from traditional treatments. Smart drug delivery systems can address these issues by providing targeted therapy, which could lead to better health outcomes and improved quality of life for patients.

Key findings

  • Smart systems allow for on-demand medication release based on physiological cues.
  • They can reduce side effects and improve patient compliance.
  • The review discusses advancements in biomaterials and nanotechnology.
  • Issues like manufacturing complexity and patient safety are addressed.
  • Combining these systems with wearable technology is explored.

What's new

The review focuses on the integration of stimuli-responsive materials in drug delivery specifically for diabetes management, highlighting recent advancements.

Limitations

The abstract does not provide specific experimental results or data to support the claims made about the systems.

Commercial context

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

Publication

Publisher
Bentham Science Publishers Ltd.
Publication date
February 1, 2026
Research type
Paper

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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