Evidence map›Paper›PMID 40697711›Full record

ReviewBioactive materials2025

Bioprinting for drug screening: A path toward reducing animal testing or redefining preclinical research?

Harshavardhan Budharaju, Rajendra K Singh, Hae-Won Kim

Abstract readReview
In one paragraph

Review in Bioactive materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Bioprinted skin: from lab bench to clinic, what matters now and what's next.Frontiers in bioengineering and biotechnology · 2026
    Article
  9. Review
  10. 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

3 authors.

Harshavardhan BudharajuSchool of Chemical, Materials & Biological Engineering, Faculty of Engineering, University of Sheffield, Sheffield, S37HQ, UK.
Rajendra K SinghInstitute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan, 31116, Republic of Korea.
Hae-Won KimInstitute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan, 31116, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioprinting is reshaping the field of tissue regeneration and drug screening by creating physiologically accurate and scalable tissue models that reduce the limitations of conventional animal testing. It helps to minimize interspecies variability by developing complex 3D tissue structures that closely mimic the structural and functional characteristics of native tissues, ensuring high reproducibility. Furthermore, it supports more humane and sustainable preclinical testing by aligning with the ethical 3Rs principles (Replacement, Reduction and Refinement). Although bioprinting offers many advantages, its full potential in evaluating drug testing applications has yet to be harnessed. In this review, we discuss the efficacy of key bioprinting techniques in replicating the structural and functional characteristics of engineered tissues, comparing them with their native counterparts. Further, we highlight case studies demonstrating the applications of bioprinted skin, cardiac, hepatic, renal, bone, and cancer models in pharmaceutical research. The commercialization of bioprinted drug testing platforms and their integration into pharmaceutical development are also discussed. Finally, we outline key advantages, current challenges, and future directions needed to establish bioprinting as a transformative tool for preclinical drug testing, aiming to replace traditional animal models.

Indexed as

BioprintingCommercial bioprinted constructsDrug testingIn vitro modelsPharmaceutical research

Identifiers

PMID40697711
PMCPMC12281243

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.