Evidence map›Paper›PMID 42929953›Full record

ReviewGels (Basel, Switzerland)2026

Intelligent Hydrogel Sensors for Health Monitoring and Therapeutic Intervention: From Material Design to Integrated Diagnosis and Treatment.

Di Chu, Qi Hou, Mingxin Li, Yuan Dong

Abstract readReview
In one paragraph

Review in Gels (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Di ChuCollege of Laboratory Medicine, Jilin Medical University, Jilin 132013, China.
Qi HouCollege of Biomedical Engineering, Jilin Medical University, Jilin 132013, China.
Mingxin LiCollege of Laboratory Medicine, Jilin Medical University, Jilin 132013, China.
Yuan DongCollege of Laboratory Medicine, Jilin Medical University, Jilin 132013, China.

Funding

Jilin Province Science and Technology Department 20260102067JC
6 · The paper itself

Abstract

Intelligent hydrogel sensors are integrated sensing devices employing stimuli-responsive hydrogels as the core functional sensing layers. Featuring tissue-mimetic mechanical flexibility, superior biocompatibility, and dynamic stimulus responsiveness, they fundamentally resolve the mechanical and biological interfacial mismatch between traditional rigid electronics and soft living tissues, providing new avenues for in situ, real-time, and in vivo physiological monitoring and precise biomedical intervention. This review systematically elaborates the full-scale design logic, multifunctional integration strategies, and cutting-edge biomedical applications of engineered intelligent hydrogel sensors. The material selection principles covering natural, synthetic, and hybrid polymer systems, multi-mode crosslinking strategies for three-dimensional network construction, and functional modification approaches for conductivity, biological recognition, self-healing, adhesion, and antifouling performance are comprehensively summarized. The sensing mechanisms that convert physical deformation and biochemical variations into quantifiable electrical or optical signals are classified and analyzed, including resistive/capacitive, piezoelectric, electrochemical, and optical transduction modes. This review strictly focuses on hydrogel-dominant sensing platforms and discusses their versatile applications in wearable physiological monitoring, implantable in vivo sensing, and in vitro biochemical diagnosis. Particular emphasis is placed on the core role of intelligent hydrogels in constructing "perception-feedback-treatment" closed-loop theranostic systems, which enable autonomous on-demand drug release or physical stimulation in response to pathological signal changes, achieving integrated diagnosis and therapy. Despite substantial laboratory progress, the clinical translation of intelligent hydrogel sensors still faces critical challenges, including insufficient long-term in vivo stability, biological contamination, uncontrollable immune responses, large-scale manufacturing difficulties, and poor performance consistency. This review further outlines future development directions based on artificial intelligence-assisted material design, biomimetic structural engineering, advanced 3D/4D printing manufacturing, and interdisciplinary integration. It is anticipated that intelligent hydrogel sensors will evolve into highly integrated, personalized, and autonomous intelligent healthcare units, promoting the paradigm shift from passive universal treatment to proactive, personalized, and predictive precision medicine.

Indexed as

biocompatibilitybiosensorclosed-loop diagnosis and treatmentintelligent hydrogelprecision medicine

Identifiers

PMID42929953
PMCPMC13704693

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.