AI is transforming antibody discovery, but better models only come from better data. When you are generating and screening sequences at scale, you need characterization results that are fast, comprehensive, and ready to use without hours of cleanup and reformatting.
The antibody therapeutics sector is rapidly evolving, transitioning from traditional hybridoma methods to single B and AI-driven de novo design approaches, significantly compressing discovery timelines and creating novel binding moieties.
Biointron’s 2026 Lunch & Learn, held at CIC Cambridge on May 8, 2026, featured expert presentations from SeromYx Systems and Visterra on two critical areas of antibody and biologic development: Fc-effector function profiling and cell-based neutralizing antibody (NAB) assay design.
This webinar provides an overview of Antibody-Drug Conjugates (ADCs) and expanded drug conjugates (XDCs), with a focus on Biointron's experiences and capabilities.
Watch our webinar on accelerating antibody discoveru. Single B cell sorting-based antibody screening can help identify a population of diverse and functional hits with a shortened timeline. Integrated with our high-throughput expression, validation and developability assay platforms, the path from hits to candidate can be more faster and more efficient with data beyond binding alone.
During the NextGen Biomed 2026 conference in London, Lei Shi, PhD, Senior Vice President of Biointron, discussed Biointron's unique single B cell sorting-based antibody discovery process integrated with our high-throughput expression, validation and developability platforms.
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