BIOLOGICS FORUM×BioMedAna by OpenAna

THE INTELLIGENT BIOPROCESS SERIES · WEBINAR 02

Accelerating
Recombinant Protein Development.

How AI can support expression, process optimization, scale-up and faster development.

A grounded expert discussion on turning experimental and process evidence into better recombinant-protein development decisions.

01 Friday, 9 October 202602 8:00 PM – 9:00 PM IST03 Live on Microsoft Teams
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BIOMEDANA / RECOMBINANT PROTEINSPROCESS VIEW
ExpressionProcess intelligenceScale-up
EXPRESSIONConnect host, construct, media and process evidence.
PROCESS OPTIMIZATIONFocus experiments on the most informative conditions.
SCALE-UPCarry scientific and engineering context into the next scale.

THE FOUR-PART SERIES

One series.
Four bioprocess decisions.

Start with the completed mAb session, register for recombinant proteins, and follow the upcoming hybrid-twin and fermentation conversations.

03

AI-Powered Hybrid Twins for Bioprocessing

Biology + physics + process data + AI for predictive decisions.

DETAILS COMING SOON
04

Intelligent Fermentation with Applied AI

Turning dynamic process signals into predictive decisions.

DETAILS COMING SOON

SESSION 02 — 9 OCTOBER 2026

Accelerating Recombinant Protein Development with AI.

How can teams connect expression, experimental and process data to improve development choices, reduce avoidable experimental burden and prepare for more confident scale-up?

01
Connect expression evidence

Bring host, construct, media, feed, analytical and process context into a reusable scientific record.

02
Prioritize informative experiments

Use data and domain constraints to compare conditions and focus the next round of development work.

03
Prepare for scale-up

Evaluate which relationships may transfer, which are scale-dependent and where targeted evidence is still needed.

THE CONVERSATION

01

From expression data to connected evidenceHow to preserve the context across constructs, hosts, media, feeds and analytical results.

02

Smarter experimentationWhere AI, multivariate analysis and scientific constraints can help prioritize the next experiment.

03

Quality, yield and robustnessHow teams can evaluate competing objectives without optimizing one headline metric in isolation.

04

Scale-up and technology transferHow hybrid modeling can combine biology, data and engineering descriptors while keeping scientists in control.

BUILT FORRecombinant Protein DevelopmentUpstream Process DevelopmentMSATTechnology TransferBioprocess Data & AI

EDUCATION · EXPERT DISCUSSION · PRACTICAL AI

Bioprocess intelligence,
without the hype.

Join scientists, engineers and digital leaders for a practical discussion of where AI can strengthen recombinant-protein development—and where scientific review remains essential.

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