From Sequences to Systems: Designing a Next-Gen Wet Lab

Twist and Cradle discuss how to build an iteration-focused lab environment to rapidly validate and improve machine learning models for biologics discovery.

Designing a Next-Gen Wet Lab
Presented by
Elise de Reus
Elise de Reus
Co-Founder, Partnerships, Vice President, Data Science & Platform Solutions, Cradle
Harmen van Rossum
Harmen van Rossum
Co-Founder, Bioengineering, Cradle
Colby Souders
Colby Souders
Chief Scientific Officer, Twist Bioscience

Covered in this Webinar
AI-Accelerated Discovery: Learn how the synergy between Twist’s high-throughput synthesis and Cradle’s generative AI platform creates a seamless "make-test" cycle to navigate sequence space more efficiently.
Superior Lead Optimization: See evidence from case studies where Cradle ML outperformed traditional bioinformatic methods, identifying twice as many high-affinity binders for targets like ROR1.
Automated Lab Efficiency: Discover how integrating lab automation and "ML-ready" workflows can reduce experimental cycle times to just three weeks, significantly speeding up protein engineering timelines.
Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions. For research use only, not for use in diagnostic procedures.
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