WHO/KFDA joint workshop on implementing WHO guidelines on evaluating similar biotherapeutic products, Seoul, Republic of Korea 24–26 August, 2010
Bibliographic record
Abstract
In August 2010, the World Health Organization and the Korea Food & Drug Administration jointly organized the first implementation workshop of WHO guidelines on evaluating similar biotherapeutic products (SBPs) at the global level. The objective of the Workshop was to facilitate implementation of the newly adopted WHO Guidelines into the practice of national regulatory authorities (NRAs). WHO Guidelines were recognized by the workshop participants as a tool for harmonizing regulatory requirements worldwide. By reviewing and practicing several case studies, better understanding and consensus on the principles of clinical trial designs were reached. However, variations in terms of the national requirements for quality, safety and efficacy of these products revealed diversity in the regulatory expectations in different countries and regions. In addition, lack of terminology for the products developed as copy products (so called "me too" products) with a partial comparability to an RBP, led to a great diversity in evaluating as well as naming these products. The workshop participants proposed the following actions: a) NRAs should make efforts to build their capacities for regulation of SBPs; b) WHO should revise WHO Guidelines for assuring the quality of products prepared by recombinant DNA technology (WHO TRS 814) and continue monitoring progress with the implementation of the Guidelines on evaluating SBPs. Publication of the outcome of the Workshop was recognized as another action that WHO should coordinate.
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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 | 0.019 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".