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Record W2945826640

The Patent Ability of Genetic Therapies: CAR-T and Medical Treatment Exclusions Around the World

2019· article· en· W2945826640 on OpenAlexaboutno aff
Luis Gil Abinader, Jorge L. Contreras

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsnot available
FundersHuntsman Cancer InstituteHuntsman Cancer Foundation
KeywordsInternational lawPatent lawLaw and economicsPolitical scienceMedicineBusinessInternational tradeLawEconomicsIntellectual property
DOInot available

Abstract

fetched live from OpenAlex

More than eighty countries, including the members of the European Patent Convention, the United States, Canada, New Zealand, China, Japan, and India, currently exclude or limit the patentability of methods of medical treatment. CAR-T and other recent gene and cell therapies, which operate based on the extraction of genetic or cellular material from a patient, the alteration of such material, and the reintroduction of such material to the patient’s body, should, under most or all of these legal regimes, be considered medical treatments that are thus excluded from patentability, or as to which patent enforcement is limited. Accordingly, we urge national patent offices to update their examination procedures and practices to take these patentability limitations into account, and to publish guidance clearly explaining this approach to applicants.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.722
Threshold uncertainty score0.569

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.303
Teacher spread0.267 · 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 designObservational
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

Citations7
Published2019
Admission routes1
Has abstractyes

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