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Report of the fourth conference on next-generation sequencing (NGS) for adventitious virus detection in biologics for humans and animals: Validation and implementation of NGS

2025· article· en· W4414163940 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBiologicals · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsHealth Canada
FundersWorld Health Organization
KeywordsStandardizationFood and drug administrationGuidelineAllianceHarmonizationKey (lock)

Abstract

fetched live from OpenAlex

This report is a summary of the 4th Conference on NGS for Adventitious Virus Detection, which took place on December 4–5, 2024, in Frankfurt, Germany, and was sponsored by the International Alliance for Biological Standardization (IABS), and co-chaired by the U.S. Food and Drug Administration (FDA) and the European Directorate for the Quality of Medicines & HealthCare (EDQM). The increased interest in using NGS for adventitious virus detection follows its recent introduction in the ICH Q5A (R2) guideline and the new EDQM/European Pharmacopoeia general chapter 2.6.41. Key conference objectives included evaluating NGS validation and implementation, addressing regional challenges, and discussing regulatory acceptance as an alternative method to the conventional assays. The conference fostered networking between early and established NGS users and emphasized the Advanced Virus Detection Technologies Working Group as a key learning hub for NGS applications. Discussions focused on method validation requirements and the need for defining a specific limit of detection. Participants shared updates on scientific developments and regulatory submissions. A general consensus was reached on the readiness of NGS to replace the in vivo adventitious virus detection assays and PCR assays, and to supplement or replace the in vitro cell-based assays, based on a suitable validation package. • This report summarized the 4th Conference on NGS for Adventitious Virus Detection in Biologics, wheld on December 4–5, 2024. • Interest in using NGS for adventitious virus detection has increased since its introduction in the ICH Q5A (R2) guideline. • NGS validation and implementation, regional challenges, and regulatory acceptance of using NGS was discussed. • Discussions focused on method validation requirements and the need for defining a specific limit of detection. • Consensus was reached on the readiness of NGS to replace the in vivo adventitious virus detection assays and PCR assays.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.147

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.165
GPT teacher head0.343
Teacher spread0.179 · 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