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Related Experiment Video

Updated: Jun 30, 2026

Hydrogel Arrays Enable Increased Throughput for Screening Effects of Matrix Components and Therapeutics in 3D Tumor Models
10:49

Hydrogel Arrays Enable Increased Throughput for Screening Effects of Matrix Components and Therapeutics in 3D Tumor Models

Published on: June 16, 2022

Smart responsive hydrogels combined with AI design for tumor therapy.

Qingquan Wang1, Jiaqi Li1, Nianping Feng1

  • 1School of pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.

Acta Pharmaceutica Sinica. B
|June 29, 2026
PubMed
Summary

Functionalized hydrogels offer advanced cancer therapy through precise targeting and controlled release. This review highlights AI-driven hydrogel platforms for personalized, multimodal cancer treatment strategies.

Keywords:
AICancerCharacterization methodsClinical translationCombination therapyFunctionalised hydrogelsPrecision medicineSmart responsive materials

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Published on: September 22, 2023

Area of Science:

  • Biomaterials Science
  • Nanotechnology
  • Cancer Therapeutics

Background:

  • Multifunctional platforms are crucial for advanced cancer therapy, requiring precise targeting, controlled drug release, and immunomodulation.
  • Hydrogels are promising due to their programmable release, responsiveness, and immunoregulatory properties.

Purpose of the Study:

  • To review functionalized hydrogels for cancer therapy, focusing on multi-stimuli responsiveness and synergistic therapeutic mechanisms.
  • To explore the integration of artificial intelligence (AI) and machine learning (ML) in developing intelligent hydrogel systems for cancer treatment.

Main Methods:

  • Systematic review of literature on functionalized hydrogels for cancer therapy.
  • Analysis of hydrogel responsiveness to stimuli like temperature, pH, ROS, and enzymes.
  • Examination of multimodal therapeutic mechanisms including photothermal therapy, immunotherapy, and TME simulation.
  • Review of AI/ML applications in hydrogel design and function.

Main Results:

  • Functionalized hydrogels exhibit multi-stimuli responsiveness and enable synergistic therapies.
  • AI/ML are transforming hydrogels into intelligent systems with "smart design-perception-decision" capabilities.
  • Significant progress in exploring mechanisms and optimizing performance of smart hydrogels.

Conclusions:

  • AI-driven hydrogel platforms offer a promising avenue for personalized and multimodal cancer therapy.
  • Addressing challenges and exploring future directions in AI-enabled hydrogel development is essential.
  • This review provides theoretical guidance for next-generation hydrogels in oncology.