WEBINAR

From Data to Decisions in Antibody Discovery: Integrating AI/ML

Register for our upcoming webinar on integrating AI/ML workflows to drive smarter antibody selection, developability triage, and lead optimization.

Webinar Overview:

AI/ML is reshaping antibody discovery, not by replacing the lab, but by making every wet-lab cycle smarter.

In this webinar, Alloy will share practical, production-grade AI/ML workflows for candidate selection, developability triage, and optimization. We’ll cover what works today, what doesn’t, and how integrated data infrastructure and high-throughput make-test loops turn models into compounding advantage. We’ll close with a grounded view of de novo design and the experimental datasets required to make next-generation generative methods reliable across targets.

In this on-demand webinar, you will learn:

How AI/ML workflows integrate with wet-lab cycles to improve selection and triage decisions
Practical approaches to developability assessment using in silico tools
How high-throughput make-test loops create compounding advantage across optimization cycles
A grounded view of de novo design and the experimental datasets required to make next-generation generative methods reliable across targets

Meet the speakers

Cédric Weber

CSO of Insights Division at Alloy Therapeutics

Simon Friedensohn

CEO of Insights Division at Alloy Therapeutics

Register for our webinar

Please complete the form below to register for our live webinar.