The regulatory landscape of biosimilars: WHO efforts and progress made from 2009 to 2019
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The World Health Assembly in 2014 adopted a resolution that mandates both Member States and the WHO Secretariat to facilitate access to biotherapeutic products in a way that ensures their quality, safety and efficacy. The availability of biosimilars is expected to increase access to biotherapeutic products by providing more treatment options triggering competition which would lead to a consistent reduction in the average price of treatment. Since the WHO guidelines for regulatory evaluation of biosimilars were issued in 2009, WHO has provided immense effort towards harmonizing the terminology and the regulatory framework for biosimilars globally. This article describes the progress made and the regulatory landscape changes for biosimilars in 21 countries during the past ten years. Based on the information from regulators and from publicly available data, the following has been identified: 1) WHO guidelines have contributed to setting the regulatory framework for biosimilars in countries and increasing regulatory convergence at global level; 2) terminology used for biosimilars is more consistent than in the past; 3) biosimilars are now approved in all participating countries; and 4) the dominant product class for candidate biosimilars under development is monoclonal antibodies.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it