ArticleBioelectronic medicine2026
Neural Interfaces for Bioelectronic Medicine.
Article in Bioelectronic medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bioelectronic medicine (BEM) is an emerging scientific field that aims to revolutionize the way we understand and treat disease by using electrical impulses for diagnosis and therapy. It is an interdisciplinary endeavour that draws on advances in microelectronics, information technology, materials science, and medicine, and it holds strong promise for addressing currently unmet medical needs. At its core, BEM seeks to develop implantable devices capable of modulating neuronal circuits and biological functions in a precise, targeted, and adaptable manner. Neural interfaces play a pivotal role within this therapeutic paradigm, as they must safely probe and interact with the nervous system while maintaining long‑term stability and biocompatibility. This editorial introduces the papers published in our collection “Neural Interfaces for Bioelectronic Medicine”. The included works present the clinical landscape of neuromodulation, examine mechanisms of device failure and reliability, introduce electrode technologies with improved biocompatibility and selectivity, and explore the therapeutic potential of alternative neuromodulation strategies, such as ultrasound and magnetoelectric nanoparticle‑based approaches, supported by computational models. Together, these contributions highlight both the opportunities and the challenges that must be addressed for bioelectronic medicine to fully flourish. They also identify the key technological advancements that will shape the future of neural interfaces and enable the next generation of bioelectronic therapies. We hope you enjoy this collection as much as we did.
Identifiers
What OpenQuestion holds
Registered trials
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.