Evidence map›Paper›PMID 40558422›Full record

ReviewBiosensors2025

A Review on 3D-Printed Miniaturized Devices for Point-of-Care-Testing Applications.

Amol S Kulkarni, Sarika Khandelwal, Yogesh Thakre, Jyoti Rangole, Madhusudan B Kulkarni, Manish Bhaiyya

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. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. 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

6 authors.

Amol S KulkarniDepartment of Computer Science and Engineering, G. H. Raisoni University, Amravati 444701, MH, India.
Sarika KhandelwalDepartment of Computer Science and Engineering, G. H. Raisoni College of Engineering, Nagpur 440016, MH, India.ORCID 0000-0003-3336-820X
Yogesh ThakreSchool of Computer Science and Engineering, Ramdeobaba University, Nagpur 440013, MH, India.ORCID 0000-0002-7528-842X
Jyoti RangoleDepartment of Electronics and Telecommunication Engineering, Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology, Baramati 413133, MH, India.
Madhusudan B KulkarniDepartment of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal 576104, KA, India.
Manish BhaiyyaDepartment of Chemical Engineering and the Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel.

Funding

Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal 576104, India Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal 576104, India
6 · The paper itself

Abstract

Integrating three-dimensional printing (3DP) in healthcare has modernized medical diagnostics and therapies by presenting various accurate, efficient, and patient-specific tailored solutions. This review critically examines the integration of 3DP in the development of miniaturized devices specifically tailored for point-of-care testing (PoCT) applications in healthcare. Focusing on progressive additive manufacturing techniques, such as material extrusion, vat photopolymerization, and powder bed fusion, the review classifies and evaluates their contributions toward designing compact, portable, and patient-specific diagnostic devices. Unlike previous reviews that treat 3DP or PoCT generically, this work uniquely bridges the technical innovations of 3DP with clinical applications by analyzing wearable sensors, biosensors, lab-on-chip systems, and microfluidic platforms. It highlights recent case studies, performance metrics, and the role of 3DP in enhancing diagnostic speed, accessibility, and personalization. The review also explores challenges such as material standardization and regulatory hurdles while outlining future directions involving artificial intelligence (AI), the Internet of Things (IoT), and multifunctional integration. This focused assessment establishes 3DP as a transformative force in decentralized and precision healthcare.

Indexed as

Biosensing TechniquesPoint-of-Care TestingPrinting, Three-DimensionalHumansLab-On-A-Chip DevicesMiniaturizationPoint-of-Care SystemsWearable Electronic Devices3D printingadditive manufacturingbiosensorsmedical diagnosispoint-of-care testingprecision healthcare

Identifiers

PMID40558422
PMCPMC12191180

What OpenQuestion holds

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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 OpenQuestion graph.