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Record W2073735031 · doi:10.1517/14712598.7.11.1621

Stem cell therapy for joint problems using the horse as a clinically relevant animal model

2007· review· en· W2073735031 on OpenAlexaff
Thomas G. Koch, Dean H. Betts

Bibliographic record

VenueExpert Opinion on Biological Therapy · 2007
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsOsteoarthritisStem cellArticular cartilageJoint diseaseCartilageMedicineClinical trialStem-cell therapyAnimal modelDiseasePathologyBioinformaticsBiologyInternal medicineMesenchymal stem cellAnatomyAlternative medicine

Abstract

fetched live from OpenAlex

Research into articular cartilage is a surprisingly recent endeavour and much remains to be learned about the normal development of the synovial joint and its components that interplay in osteoarthritis and focal cartilage defects. Stem cell research is likely to contribute to the understanding of the developmental biology of synovial joints and their pathologies. Before human clinical trials are undertaken, stem cell-based therapies for non-life threatening disorders should be evaluated for their safety and efficacy using animal models of spontaneous disease and not solely by the existing laboratory models of experimentally induced lesions. The horse lends itself as a good animal model of spontaneous joint disorders that are clinically relevant to similar human disorders. Equine stem cell and tissue engineering studies may be financially feasible to principal investigators and small biotechnology companies if the equine industry is successfully engaged in the research process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.413
GPT teacher head0.456
Teacher spread0.043 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations49
Published2007
Admission routes1
Has abstractyes

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