Bring process conditions, analytical results and experimental context into one scientific view.
BIOLOGICS FORUM×BioMedAna by OpenAna
A NEW EXPERT-LED WEBINAR SERIES
The Intelligent
Bioprocess Series.
AI, cell culture and the future of mAb process development.
Four expert-led conversations exploring how AI is reshaping bioprocess development, scale-up and decision-making.
SESSION 01 — 24 SEPTEMBER 2026
Smarter mAb Development with AI.
How can AI connect cell-culture and process data to identify critical drivers, improve experiments and support more confident scale-up?
Use AI to surface the signals and interactions most closely associated with performance.
Compare experiments and operating choices with evidence, uncertainty and scientific review attached.
THE CONVERSATION
From cell culture to connected evidenceHow to combine process, analytical and experimental context without losing scientific traceability.
Finding the drivers of performanceWhere AI can help teams investigate complex relationships across media, feeds and process conditions.
Smarter experimentationHow evidence-guided comparisons can focus experiments and strengthen process understanding.
Confident scale-upWhat evidence and human review should accompany AI-supported scale-up decisions.
THE FULL SERIES
Four conversations.
One connected future.
From a complete scientific record to predictive scale-up, each session focuses on a specific workflow and the decisions AI can strengthen.
Smarter mAb Development with AI
From cell culture and process optimization to confident scale-up.
AI-Powered Hybrid Twins for Bioprocessing
Biology + physics + process data + AI for predictive decisions.
Intelligent Fermentation with Applied AI
Turning dynamic process signals into predictive decisions.
Accelerating Recombinant Protein Development with AI
Smarter experimentation, expression optimization and faster development.
EDUCATION · EXPERT DISCUSSION · PRACTICAL AI
Bioprocess intelligence,
without the hype.
Join scientists, engineers and digital leaders for grounded conversations on where AI fits, what evidence it needs and how teams can use it responsibly.
See session one ↑