Global availability of critical reagents for biologicals testing - Current status, challenges and possible solutions
Bibliographic record
Abstract
On July 2, 2024, the International Alliance for Biological Standardization (IABS) and Humane Society International (HSI) co-hosted a webinar on the global availability and affordability of critical reagents for vaccine and biologics production. Despite growing support for non-animal testing, significant barriers remain, especially in low-income countries facing financial and supply chain challenges. This meeting showcased successful collaborations on reagent production and shared industry and regulatory perspectives. Key barriers included high reagent costs, import complexities, and the limited number of suppliers. Participants stressed the need for tailored risk-based testing, in-house assay validation, and stronger collaboration for standardised testing. The idea of regional hubs in Africa and Southeast Asia for reagent distribution was also discussed to address logistical challenges. A central theme was advocating reliance strategies, which promote shared regulatory assessments and resource optimisation, as demonstrated by the EU/EEA OCABR Network activities and South African-European laboratory collaborations. Difficulties facing smaller national control laboratories in meeting international standards were highlighted, along with the need for further innovation in non-animal-derived reagents to address these challenges. Participants stressed the importance of continued global collaboration and adopting reliance practices to improve access to critical reagents and ensure sustainability in biologics testing. • Reliance strategies promote regulatory convergence, cut needless testing, and optimise resources. • Regional distribution hubs can ease difficulties in importing reagents containing animal components. • Adapting testing strategies reduces reagent costs and addresses some availability issues. • Employing risk-based testing can help phase out costly animal testing for legacy vaccines. • Development of viral standards for implementation of molecular test methods can facilitate reducing animal use.
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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 | 0.032 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.010 | 0.016 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".