STIMULI-RESPONSIVE DRUG DELIVERY SYSTEMS: EXTENSIVE OVERVIEW

JAGAN SUBRAMANIAN, RUTAMBHARA PADHY, JANA ARUN, VIVEK REDDY MURTHANNAGARI, GANESH GNK · Innovare Academic Sciences Pvt Ltd · 2025

Stimuli-responsive drug delivery systems show promise in enhancing therapeutic outcomes for various diseases through targeted release mechanisms.

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Plain English summary

This review provides an extensive overview of stimuli-responsive drug delivery systems (SRDDS) developed over the past decade. It explores how these systems can release drugs in response to various stimuli, including temperature, light, and biological signals.

Why this matters

The advancements in SRDDS could significantly improve treatment outcomes for patients with conditions like cancer and diabetes by ensuring drugs are released precisely when needed. This could lead to more effective therapies and fewer side effects, making a real difference in patient care.

Key findings

  • SRDDS can be triggered by various stimuli, enhancing drug release precision.
  • Patients receiving treatments showed improved response rates and fewer adverse events.
  • Challenges remain in large-scale manufacturing and clinical translation.
  • AI and bioelectronic interfaces are emerging as key components in future systems.
  • Collaboration across disciplines is essential for advancing SRDDS.

What's new

The review synthesizes a decade of developments in SRDDS, highlighting the integration of AI and bioelectronic systems for enhanced drug delivery.

Limitations

The review acknowledges ongoing challenges in manufacturing and clinical application, which may hinder the widespread use of these systems.

Commercial context

The abstract does not provide information on commercial availability or readiness.

Publication

Publisher
Innovare Academic Sciences Pvt Ltd
Publication date
September 7, 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