MétaCan
Menu
Back to cohort

Medicine in the Digital Era: Legal Aspects of the Use of Cell and Gene Therapy in Foreign Countries

2024· article· en· W4401190582 on OpenAlexaboutno aff
Д. В. Пономарева, М. В. Некотенева

Bibliographic record

VenueActual Problems of Russian Law · 2024
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsGenetic enhancementPolitical scienceGeneMedicineComputational biologyBiologyGenetics

Abstract

fetched live from OpenAlex

The paper examines the experience of legal regulation of the use of cell and gene therapy products, including CAR-T technologies, in the Anglo-Saxon legal system. It is noted that a significant obstacle to the development of CAR-T therapy, as well as cell and gene therapy in general, is the absence in most countries of the world of comprehensive legal regulation of the use of such innovative methods of treating diseases. Currently, this problem is relevant for the Russian Federation, where cell and gene therapy drugs are actively being developed. The paper provides a detailed overview of the main relevant documents from Australia, the United States of America and Canada, analyzes specific cases illustrating successful law enforcement practice, and examines the mechanisms of self-regulation in the area under study. In conclusion, the authors formulate the key problems and ways to improve legal regulation as to cell and gene therapy drugs application in the Russian Federation. The authors recommend that the best practices of these foreign countries be used, taking into account its critical understanding for the development of appropriate regulatory regulation in the Russian Federation and integration associations with its participation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.259
Teacher spread0.230 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueActual Problems of Russian LawSame topicBiomedical Ethics and RegulationFrench-language works237,207