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Smart responsive hydrogels combined with AI design for tumor therapy
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Qingquan Wang, Jiaqi Li, Nianping Feng, Yongtai Zhang
Acta Pharmaceutica Sinica B | 2026, 16(6) : 3425 - 3472
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Acta Pharmaceutica Sinica B | 2026, 16(6): 3425-3472
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Smart responsive hydrogels combined with AI design for tumor therapy
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Qingquan Wang, Jiaqi Li, Nianping Feng, Yongtai Zhang
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doi: 10.1016/j.apsb.2026.02.019
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Advances in cancer therapy have underscored the critical need for multifunctional platforms that enable precise targeting, controlled drug release, and immunomodulation. Hydrogels, as transformative tools with programmable drug release capabilities, microenvironmental responsiveness, and immunoregulatory properties, demonstrate broad application prospects. This review focuses on the design and application of functionalized hydrogels, emphasizing their responsiveness to multiple stimuli, including temperature, pH, reactive oxygen species (ROS), and enzymes. It provides an in-depth analysis of their multimodal synergistic therapeutic mechanisms, including photothermal therapy, immunotherapy, starvation therapy, intelligent detection, targeted capture, and tumor microenvironment (TME) simulation. Meanwhile, recent developments in machine learning-enabled intelligent hydrogel technologies have driven the transformation of materials into intelligent systems with “smart design-perception-decision” capabilities. Although the literature on smart hydrogels has made significant progress in exploring mechanisms and optimizing performance, systematic reviews of artificial intelligence (AI)-driven platforms remain notably lacking. This paper systematically summarizes the regulatory strategies of material-derived intelligent hydrogels, AI-enabled mechanisms, and practical application cases, revealing core challenges and future development directions, thereby providing theoretical guidance and practical pathways for next-generation hydrogels in personalized and multimodal cancer therapy.
Functionalised hydrogels  /  Smart responsive materials  /  Cancer  /  Characterization methods  /  Combination therapy  /  Precision medicine  /  AI  /  Clinical translation
Qingquan Wang, Jiaqi Li, Nianping Feng, Yongtai Zhang. Smart responsive hydrogels combined with AI design for tumor therapy[J]. Acta Pharmaceutica Sinica B, 2026 , 16 (6) : 3425 -3472 . DOI: 10.1016/j.apsb.2026.02.019
Year 2026 volume 16 Issue 6
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doi: 10.1016/j.apsb.2026.02.019
  • Receive Date:2025-10-01
  • Online Date:2026-09-17
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  • Received:2025-10-01
  • Revised:2025-12-08
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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