Conference report WHO informal consultation on the draft WHO Guideline on the phasing out of animal tests for the quality control of biological products
Bibliographic record
Abstract
Animal testing has long supported the development and quality control of biotherapeutics and vaccines by ensuring safety and efficacy. However, its variability and time-consuming nature can delay product availability. Advances in non-animal technologies, guided by the 3Rs principles, have led to more efficient and scientifically robust alternatives. Recognizing the limitations of animal assays, WHO encourages their replacement when scientifically justified and has drafted a Guideline on phasing out animal tests in biological product quality control. Following public consultation, an informal meeting at WHO Headquarters brought together regulators, industry representatives, and other stakeholders to review the draft. The Guideline was developed based on ECBS recommendations and a review of existing WHO documents. Participants proposed improvements, including a revised title, to better emphasize the scientific rationale for replacing animal-based tests used in quality control scheme. These updates aim to support finalization of the document for a second public consultation and ECBS adoption.
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 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 | 0.038 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.025 | 0.016 |
| Insufficient payload (model declined to judge) | 0.046 | 0.021 |
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".