AI in Antibody Discovery: From In Silico Analysis to AI-enabled Data Management

This webinar will explore how AI is revolutionizing antibody sequence prediction, optimizing candidate selection and simplifying the handling of complex datasets in research and development workflows.

Explore how AI and bioinformatics are reshaping antibody discovery from in silico design to efficient data management. This webinar highlights practical applications of AI in optimizing antibody sequence prediction, streamlining candidate selection and managing complex datasets in R&D workflows.

Attendees will gain insights into how data-driven approaches are improving decision-making and accelerating timelines in therapeutic and diagnostic antibody development.

Speakers: 
Jannick Bendtsen, Head of PipeBio, Benchling
Kris Modig, Scientific Solutions Consultant, Benchling
Habib Bashour, PhD, Scientific Content Creator, Benchling

Who Should Attend?
This webinar will appeal to those working in antibody discovery or curious about how AI and bioinformatics are making R&D smarter and faster.

What You Will Learn

AI’s role in antibody sequence design and optimization
How AI-driven data management can enhance R&D efficiency
Practical case studies of AI applications in antibody discovery