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Record W4410343870 · doi:10.20529/ijme.2025.038

The impact of biotechnology on the global insulin market

2025· article· en· W4410343870 on OpenAlexaff
Colleen Fuller

Bibliographic record

VenueIndian Journal of Medical Ethics · 2025
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsCentre for Drug Research and Development
Fundersnot available
KeywordsBiotechnologyInsulinHuman insulinPolitical scienceBusinessEconomicsBiology

Abstract

fetched live from OpenAlex

Biotechnology has had a dramatic impact on how insulin is manufactured, and how much it costs to produce it. This paper examines the political, economic and social impact of biotechnology on the global insulin market. It provides an assessment of claims made by manufacturers since the early 1980s that insulin produced using recombinant DNA technology would enhance affordability, safety, effectiveness, and access to this vital medicine. This study utilises primary and secondary sources, historical and current, over the period 1921 to 2024 including academic and medical journals, archival databases, legal opinions, government reports, newspaper and magazine articles and books, and personal files. The study finds that biotechnology has failed on each of the counts claimed by the manufacturers, ie, affordability, safety, effectiveness, and access. Instead, it has transformed the global insulin market, leading to a collapse of domestic manufacturing in many countries and the emergence of a powerful oligopoly composed of three corporations: Novo Nordisk, Eli Lilly, and Sanofi. This has jeopardised the welfare of those who need secure access to safe and affordable insulin, particularly - but not only - those in low- and middle-income countries. A growing movement of diabetes activists around the globe is demanding changes to the global insulin market and to government policies.

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)0.005
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.820
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0080.017
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 head0.017
GPT teacher head0.361
Teacher spread0.344 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

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