About Event

Welcome to the 9th CDD for Biologics Summit
The Must-Attend Meeting of 2024!

As AI moves beyond proof-of-concept, advanced ML techniques are transforming computational methods that have the ability to slash drug discovery and development timelines. To fully harness this potential, computational tools need to become more robust and better integrated into the overall pipeline to ensure their impact in translating initial hits into preclinical and clinical stages, making now a more important time than ever to stay ahead of the curve on the latest advancements and methodologies shaping the future of biologic drug development

The 9th Computational Drug Development for Biologics Summit is the only industry-focused event dedicated to leveraging these advancements to guide decision-making and expedite biologic drug discovery and development. Join us and don’t miss this opportunity to explore the full potential of computational tools across the biologic development pipeline and learn how to seamlessly integrate AI tools to expedite the process.

With fresh new content covering computational and structural biology, together with protein and antibody engineering, here’s what you can look forward to at this year's event:

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32782 - 8th Computational Drug Development for Biologics Summit favicon
32782 - 8th Computational Drug Development for Biologics Summit favicon
32782 - 8th Computational Drug Development for Biologics Summit favicon
32782 - 8th Computational Drug Development for Biologics Summit favicon

Hear the latest cutting-edge work from the Baker Lab, renowned for its ground-breaking work in protein design and engineering

Cut through the hype and hear real-world case studies where AI has generated novel biologics with Absci & AI Proteins

Discover how to better integrate computational tools into the discovery pipeline to harness their potential to translate initial hits into clinical and preclinical stages with Boehringer Ingelheim

Strategies for streamlining and automating data collection to enable continuous machine learning AbbVie & Takeda

Uncover how computational tools can improve mechanistic understanding of degradation and higher order structural characterization of biologics with Bristol Myers Squibb

Who Will You Meet?

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