Evidence map›Paper›PMID 41002358›Full record

ReviewBiosensors2025

3D Printing Assisted Wearable and Implantable Biosensors.

Somnath Maji, Myounggyu Kwak, Reetesh Kumar, Hyungseok Lee

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. 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

4 authors.

Somnath MajiDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-9014-2202
Myounggyu KwakDepartment of Smart Health Science and Technology, Kangwon National University (KNU), Chuncheon-si 24341, Republic of Korea.
Reetesh KumarDepartment of Bioengineering and Biotechnology, School of Basic and Applied Sciences, Galgotias University, Greater Noida 203201, India.ORCID 0000-0003-0916-7926
Hyungseok LeeDepartment of Smart Health Science and Technology, Kangwon National University (KNU), Chuncheon-si 24341, Republic of Korea.

Funding

Korea Health Industry Development Institute RS-2025-24535069National Research Foundation of Korea No. RS-2024-00423107
6 · The paper itself

Abstract

Biosensors have undergone transformative advancements, evolving into sophisticated wearable and implantable devices capable of real-time health monitoring. Traditional manufacturing methods, however, face limitations in scalability, cost, and design complexity, particularly for miniaturized, multifunctional biosensors. The integration of 3D printing technology addresses these challenges by enabling rapid prototyping, customization, and the production of intricate geometries with high precision. This review explores how additive manufacturing techniques facilitate the fabrication of flexible, stretchable, and biocompatible biosensors. By incorporating advanced materials like conductive polymers, nanocomposites, and hydrogels, 3D-printed biosensors achieve enhanced sensitivity, durability, and seamless integration with biological systems. Innovations such as biodegradable substrates and multi-material printing further expand applications in continuous glucose monitoring, neural interfaces, and point-of-care diagnostics. Despite challenges in material optimization and regulatory standardization, the convergence of 3D printing with nanotechnology and smart diagnostics heralds a new era of personalized, proactive healthcare, offering scalable solutions for both clinical and remote settings. This synthesis underscores the pivotal role of additive manufacturing in advancing wearable and implantable biosensor technology, paving the way for next-generation devices that prioritize patient-specific care and real-time health management.

Indexed as

Biosensing TechniquesPrinting, Three-DimensionalProstheses and ImplantsWearable Electronic DevicesHumans3D printingadditive manufacturingbiocompatible materialsflexible electronicsimplantable biosensorswearable biosensors

Identifiers

PMID41002358
PMCPMC12468503

What Socratic holds

Textmetadata
LicenceCC BY
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.