Evidence map›Paper›PMID 41902479›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Multi-Functional Adaptive Interfaces for Next-Generation Wearable and Implantable Bioelectronics.

Jinhong Park, Junyoung Ha, Do Gyun Kim, Soo-Hong Lee, Hyun-Do Jung, Ja Hoon Koo, Gi Doo Cha, Dong Chan Kim

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

8 authors.

Jinhong ParkThe Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas, USA.
Junyoung HaDepartment of Chemical, Biological, and Battery Engineering, Gachon University, Gyeonggi-do, Republic of Korea.
Do Gyun KimDepartment of Systems Biotechnology, Chung-Ang University, Anseong, Republic of Korea.
Soo-Hong LeeDepartment of Medical Biotechnology, Dongguk University, Gyeonggi, Republic of Korea.
Hyun-Do JungDivision of Materials Science and Engineering, Hanyang University, Seoul, Republic of Korea.
Ja Hoon KooDepartment of Semiconductor Systems Engineering and Institute of Semiconductor and System IC, Sejong University, Seoul, Republic of Korea.ORCID 0000-0002-9146-9810
Gi Doo ChaDepartment of Systems Biotechnology, Chung-Ang University, Anseong, Republic of Korea.
Dong Chan KimDepartment of Chemical, Biological, and Battery Engineering, Gachon University, Gyeonggi-do, Republic of Korea.ORCID 0000-0001-9346-9622

Funding

Institute for Information and communications Technology Promotion IITP-2026-RS-2024-00438007Ministry of Education of Korea RS-2025-25420409National Research Foundation of Korea RS-2024-00405381National Research Foundation of Korea RS-2025-25442287
6 · The paper itself

Abstract

Healthcare systems are progressively shifting toward long-term, personalized models that rely on continuous physiological monitoring, thereby intensifying the need for advanced bioelectronic technologies. The evolution of bioelectronics can be described in three generations. First-generation systems, constructed from rigid materials, exhibited severe mechanical mismatch that produced interfacial gaps and provoked inflammatory responses when interfaced with soft tissues. Second-generation platforms based on soft, stretchable materials addressed many of these limitations by improving conformality and reducing mechanical stress; however, maintaining stable, long-term attachment to dynamically moving tissues remained a major barrier to clinical translation. Consequently, recent research focused on third-generation bioelectronics that couple intrinsically soft electronic materials with multifunctional, adaptive human-machine interfaces capable of responding to both mechanical and biochemical cues within the body. In this review, we summarize recent advances in such adaptive interfaces, categorized into mechano-adaptive and biophysiologically adaptive modalities. We first examine mechano-adaptive strategies, including shape programmability, injectability, anti-swelling architectures, and self-healing mechanisms, followed by biophysiologically adaptive approaches such as controlled permeability, anti-fibrotic design, tissue adhesion, and biodegradability. We then highlight representative wearable and implantable systems that incorporate these adaptive concepts, and conclude by discussing key challenges and future directions required for advancing these technologies toward stable, long-term clinical use.

Indexed as

Electronics, MedicalProstheses and ImplantsWearable Electronic DevicesEquipment DesignHumansadaptive interfacesbioelectronicshuman‐machine interfaceswearable and implantable electronics

Identifiers

PMID41902479
PMCPMC13137791

What OpenQuestion holds

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LicenceCC BY
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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.