Evidence map›Paper›PMID 41810495›Full record

ReviewMaterials horizons2026

Hydrogel-integrated multimodal physiological and modulation systems.

Mengmeng Yao, Ju-Chun Hsieh, Huiliang Wang

Abstract readReview
In one paragraph

Review in Materials horizons, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
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

3 authors.

Mengmeng YaoDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA. evanwang@utexas.edu.ORCID http://orcid.org/0000-0003-2257-4526
Ju-Chun HsiehDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA. evanwang@utexas.edu.ORCID http://orcid.org/0000-0001-5598-5917
Huiliang WangDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA. evanwang@utexas.edu.ORCID http://orcid.org/0000-0003-4063-270X

Funding

Non-Invasive and Non-Viral Sono-OptogeneticsR35GM147408 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Huiliang Wang · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147408
6 · The paper itself

Abstract

Hydrogels are emerging as a transformative class of materials for bridging the interface between electronics and biological systems. Their softness, high water content, and tunable ionic/electronic conductivity enable conformal, low-impedance, and biocompatible contact with tissues. This review surveys recent advances in hydrogel-integrated multimodal bioelectronic systems, with an emphasis on the stable signal acquisition, coupled sensing-actuation functions, and stimulus-responsive behaviors that support adaptive interfaces. We compare hydrogels with conventional biointerface materials and highlight key advantages such as stretchability, breathability, ionic conduction, and tissue compatibility. We then discuss representative system-level demonstrations in three domains: closed-loop brain monitoring with ultrasound neuromodulation, gastrointestinal (GI) retention and leakage detection, and cardiac monitoring, pacing, and repair. Finally, we summarize the remaining challenges including long-term stability, scalable manufacturing, and integration with microelectronics and outline opportunities for clinically deployable, autonomous, and personalized hydrogel-based bioelectronic systems.

Indexed as

Biocompatible MaterialsHydrogelsAnimalsHumansBiocompatible MaterialsHydrogels

Identifiers

PMID41810495
PMCPMC13155096

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.