In this presentation, learn about AI’s role in antibody sequence design and optimization. Attendees will gain insights into how AI-driven data management can enhance R&D efficiency. The featured speakers will share practical case studies of AI applications in antibody discovery.
TORONTO, Jan. 21, 2025 /PRNewswire-PRWeb/ -- 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. The session 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.
Join experts from Benchling, Jannick Bendtsen, Head of PipeBio; Kris Modig, Scientific Solutions Consultant, and Habib Bashour, PhD, Scientific Content Creator, for the live webinar on Thursday, February 20, 2025, at 1pm EST (6pm GMT/UK).
For more information, or to register for this event, visit AI in Antibody Discovery: From In Silico Analysis to AI-enabled Data Management.
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Vera Kovacevic, Xtalks, +1 (416) 977-6555 x371, [email protected], https://xtalks.com
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