Evidence map›Paper›PMID 40583499›Full record

ReviewAdvanced healthcare materials2025

Multifunctional Biomedical Devices with Closed-Loop Systems for Precision Therapy.

Yixuan Leng, Rujie Sun

Abstract readReview
In one paragraph

Review in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  7. Article
  8. Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
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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

2 authors.

Yixuan LengDepartment of Engineering Science, Institute of Biomedical Engineering (IBME), University of Oxford, Oxford, OX3 7DQ, UK.
Rujie SunSchool of Electronics and Computer Science (ECS), University of Southampton, Southampton, SO17 1BJ, UK.ORCID https://orcid.org/0000-0001-6136-7277

Funding

the Royal Society ICA\R1\241053
6 · The paper itself

Abstract

Closed-loop control systems have emerged as transformative tools in precision therapy, enabling real-time monitoring of patient's physiological conditions and automatically adjusting treatments based on direct feedback. By seamlessly integrating sensing feedback and on-demand therapeutic interventions, these systems offer enhanced accuracy, adaptability, and effectiveness, while reducing the risks of over- or under-treatment. This review categorizes closed-loop devices into two major types: self-sustained and externally triggered. It first examines the stimuli-responsive materials and mechanisms essential for self-sustained systems, which autonomously deliver therapeutic agents in response to physiological or environmental cues without external intervention, an approach that is particularly advantageous for managing chronic diseases. The discussion then focuses on recent developments in integrated bioelectronics as a platform for externally triggered closed-loop systems, summarising key innovations in biosensing technologies, personalized therapeutic strategies, and data-driven control algorithms. Finally, the review outlines current challenges and highlights potential research avenues, illustrating the transformative potential of closed-loop systems in a range of precision therapies, including diabetes management and neurostimulation.

Indexed as

Precision MedicineBiosensing TechniquesHumansbioelectronicsbiomaterialsclosed‐loopdrug deliverystimuli‐responsive

Identifiers

PMID40583499
PMCPMC12683207

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.