The Patent Ability of Genetic Therapies: CAR-T and Medical Treatment Exclusions Around the World
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.045 | 0.066 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.026 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.018 | 0.016 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".