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Record W2092351901 · doi:10.4155/ppa.12.45

Differentiating Stem Cell Patents

2012· review· en· W2092351901 on OpenAlexaffabout
Laurence MacPhie, Noel Courage

Bibliographic record

VenuePharmaceutical Patent Analyst · 2012
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsSystems, Applications & Products in Data Processing (Canada)
Fundersnot available
KeywordsStem cellEmbryonic stem cellInduced pluripotent stem cellPatentabilityRegenerative medicineBiologyCell biologyAdult stem cellPatent lawGeneticsComputer scienceIntellectual property

Abstract

fetched live from OpenAlex

Stem cells are defined by their capability for both self-renewal through cell division and for producing a lineage capable of differentiating into one or more specialized cell types. Stem cells are found both in adult tissues and in the developing embryo. While embryonic stem cells are able to differentiate into each and every cell type, adult stem cells are generally only able to form the cell types of the organ from which they originate. Stem cells are essential for the renewal and repair of human tissues and have been at the centre of research into regenerative medicine. They have also emerged as a valuable tool for drug discovery and development. Strong patent protection is a crucial driver of investment into new stem cell technologies. However, their special nature has created a number of uncertainties. In particular, the biological potential of embryonic stem cells to create new human life raised ethical concerns and caused boundaries to be set on the scope of patentability. The bar has been set at different places in the USA, Europe and Canada. Careful assessment of the options for protection in these jurisdictions is necessary in order to manage risk and maximize rewards. This article provides an overview of the patentability of stem cells with a focus on recent developments regarding embryonic, adult and induced pluripotent stem cells.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.233
GPT teacher head0.394
Teacher spread0.161 · 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 designNot applicable
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

Citations0
Published2012
Admission routes2
Has abstractyes

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