Cited by 253D Printing in Biomedical ResearchSARS-CoV-2 and COVID-19 ResearchAnimal testing and alternatives

COVID-19 highlights the model dilemma in biomedical research

Open access
Adhikary, Partho Protim, Ul Ain, Qurrat, Hocke, Andreas Christian, Hedtrich, Sarah·2021·Nature Reviews Materials

Abstract

Scientists worldwide struggle to identify suitable animal models to study SARS-CoV-2 infections. Interspecies-related differences, such as host specificity, divergent immune responses, or the unavailability of species-specific reagents hamper the research. Human-based models, such as micro-engineered multi-organs-on-chip, may hold the solution.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41578-021-00305-z

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Biomedical research is shifting toward human disease models because current drug development has high failure rates.

    “Biomedical research is undergoing a paradigm shift towards approaches centred on human disease models owing to the notoriously high failure rates of the current drug development process.”

    From Human disease models in drug development (2023) · cites this paper as [1]

    The Abstract links poorly predictive animal models to high clinical-trial failure rates and says researchers are calling for a shift toward human-centred approaches. It does not establish that biomedical research is already undergoing that shift; the section on available preclinical models says the impact of human-based models remains low. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • Human disease models can aid discovery of disease mechanisms, as shown by systems created during COVID-19.

    “Human disease models can facilitate the process as evidenced by ad hoc systems that emerged during the COVID-19 pandemic1.”

    From Human disease models in drug development (2023) · cites this paper as [1]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Adhikary, P. P., Ul Ain, Q., Hocke, A. C., & Hedtrich, S.
Affiliations
  • University of British Columbia (CA)
  • Humboldt-Universität zu Berlin (DE)
Corresponding author
Hedtrich, Sarah
Venue
Nature Reviews Materials
Published
2021-03-17
Volume
6
Issue
5
Pages
374-376
ISSN
2058-8437 (ISSN-L)
OpenAlex
W3136469856
Cited by
25
References
10
Citations by year
2026: 4 · 2025: 6 · 2024: 2 · 2023: 7 · 2022: 5 · 2021: 1
FWCI
1.14
Type
journal article
Language
en
Open access
Locations
  • Nature Reviews Materials (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (acceptedVersion)
Funders
  • Deutsche Forschungsgemeinschaft (SFB‐TR84)
  • Bundesministerium für Bildung und Forschung
  • University of British Columbia
  • Canadian Institutes of Health Research (COVID-19, CIHR PJT-166035)
  • Natural Sciences and Engineering Research Council of Canada (RGPIN 2020, rgpin-2020-04224, 2020-04224)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
Keywords
COVID-19 pandemic, SARS-CoV-2, animal models, species differences, host specificity, immune response, organ-on-a-chip

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review