2025 White Paper on Recent Issues in Bioanalysis: Redosing Patients with AAV Gene Therapy; CRS Immunogenicity Risk; Shedding Assays; NHP Studies Immunogenicity; CMC vs Bioanalytical Assays; Artificial Intelligence-Powered Genomic Pipelines for NGS ( <u>PART 3A</u> – Recommendations on Gene, Cell, and Vaccine Therapies Immunogenicity & Technologies; Biotherapeutics & Biosimilars Immunogenicity Assessment & Clinical Relevance <u>PART 3B</u> – Regulatory Agencies’ Input on Immunogenicity/Technologies of Biotherapeutics, Gene, Cell & Vaccine Therapies)
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 19th Workshop on Recent Issues in Bioanalysis (19th WRIB) took place in New Orleans, LA, USA on April 7-11, 2025. Over 1200 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 19th WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.Moreover, in-depth workshops on “Implementation Practice for the Newest ELN/LIMS Systems” and on “Vaccine Cell-Based/Functional & Molecular Assays as part of the harmonization of vaccine clinical assays global initiative” were the special features of the 19th edition.As in previous years, WRIB continued to gather a wide diversity of international, industry opinion leaders and Regulatory Agency experts working on both small and large molecules as well as gene, cell therapies and vaccines to facilitate sharing and discussions focused on improving quality, increasing regulatory compliance, and achieving scientific excellence on bioanalytical issues.This 2025 White Paper encompasses recommendations emerging from the extensive discussions held during the workshop and is aimed to provide the bioanalytical community with key information and practical solutions on topics and issues addressed, in an effort to enable advances in scientific excellence, improved quality and better regulatory compliance. Due to its length, the 2025 edition of this comprehensive White Paper has been divided into three parts for editorial reasons.This publication (Part 3) covers in the Part 3A the recommendations on Gene Therapy, Cell therapy, Vaccines and Biotherapeutics Immunogenicity and in Part 3B the Regulatory Inputs on these topics. Part 1 (Mass Spectrometry Assays and Regulated Bioanalysis/BMV) and Part 2 (Biomarkers/BAV, IVD/CDx, LBA and Cell-Based Assays) are published in volume 18 of Bioanalysis, issues 3 and 2, respectively.
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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