AI in Biopharma Manufacturing: Are We There Yet?: Who It's For and Who Sponsors It

Est. audience: 100
Apple rating: 5 from 1
Cadence: Daily
Latest: 2026-10-07
By: Jack Prior
Based on: 11 recent episodes

Covers: Regulatory frameworks, GMP compliance, model validation, data integrity, and AI adoption in biopharma manufacturing.
For: Biopharma engineers, manufacturing scientists, regulatory compliance officers, and plant site heads.
Best for: Bioprocess engineers navigating regulatory standards for artificial intelligence deployments in manufacturing.
Skip if: Consumers or software developers working outside regulated life sciences and manufacturing environments.

Start with

Annex 22, Revisited: Is the Model-Type Gate Coming Down?: Explains EMA workshop findings regarding model types and machine learning in GMP applications.
Convergence: Where Is This Going — and Are We There Yet?: Reviews joint EMA-FDA guiding principles covering model risk, context of use, and implementation.
Change: What Happens When the Model — or the Process — Changes?: Covers regulatory compliance across ICH guidelines when updating models, data, or vendor versions.

Summarised by AI from 11 recent episodes. Audience estimate and Apple rating from Podscan, checked 2026-11-03; treat the estimate as a guide and ask the show for its own numbers. Prices are not included. Report a mistake.