Evidence map›Paper›PMID 41953053›Full record

ReviewMilitary Medical Research2026

3D bioprinting of tissues and organs for systemic diseases and localized injuries.

Wei Long Ng, Paulo Bartolo

Abstract readReview
In one paragraph

Review in Military Medical Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

2 authors.

Wei Long NgSingapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Paulo BartoloSingapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) bioprinting integrates engineering, materials science, and biology to fabricate living tissues with precise spatial control. By enabling the layer-by-layer deposition of cells and biomaterials, it overcomes many limitations of traditional scaffold-based tissue engineering and offers new opportunities for regenerative and personalized medicine. This review presents a comprehensive overview of recent advances in 3D bioprinting. It introduces a systematic, ASTM-aligned classification of key bioprinting modalities, extrusion, jetting, and vat photopolymerization, along with their respective material and biological design requirements. It also summarizes recent progress in bio-ink development and crosslinking strategies that improve print fidelity and functional tissue maturation. In addition, the review highlights applications in both systemic disease modelling and treatment (such as cardiovascular, endocrine/metabolic, and neurodegenerative disorders) and localized tissue repair (including skin, musculoskeletal, cartilage, and bone), emphasizing their relevance to civilian healthcare and military medicine. By combining technological innovation, biological insights, and regulatory considerations, this review outlines how advances in multi-modal bioprinting and intelligent process control can accelerate the translation of laboratory research into clinically viable, patient-specific therapies, driving the next generation of regenerative medicine.

Indexed as

BioprintingPrinting, Three-DimensionalTissue EngineeringHumansRegenerative MedicineTissue ScaffoldsBiofabricationBio-inksClinical translationDisease modellingMachine learning (ML)Multi-modal bioprintingRegulatory challengesThree-dimensional (3D) bioprintingTissue regeneration

Identifiers

PMID41953053
PMCPMC13054579

What OpenQuestion 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 OpenQuestion graph.