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Episode: 62 - AI/ML in Antibody Discovery and Engineering: Reality, Hope, Future, and Hype

Episode: 62 - AI/ML in Antibody Discovery and Engineering: Reality, Hope, Future, and Hype

FromThe Chain: Protein Engineering Podcast


Episode: 62 - AI/ML in Antibody Discovery and Engineering: Reality, Hope, Future, and Hype

FromThe Chain: Protein Engineering Podcast

ratings:
Length:
64 minutes
Released:
Jun 11, 2024
Format:
Podcast episode

Description

his special episode of The Chain features a panel of industry experts who discussed AI and ML in antibody discovery and engineering at this year’s PEGS Boston event. Peter Tessier, professor at the University of Michigan; Andrew Bradbury, CSO at Specifica; Andrew Waight, Senior Director of Machine Learning, Discovery Biologics & Protein Sciences at Merck Research Labs; Peyton Greenside, Co-Founder & CSO of BigHat Biosciences; and Paolo Marcatili, Director of Antibody Design at Novo Nordisk take on where AI/ML has the biggest impact, what the hype is in the use of AI/ML in antibody discovery, how new AI/ML methods are being benchmarked against traditional discovery methods, and what controls should be used in an AI/ML discovery or optimization campaign. 
Released:
Jun 11, 2024
Format:
Podcast episode

Titles in the series (65)

The Chain explores the lives, careers, research, and discoveries of protein engineers and scientists, the impact their work is having on the field, and where the industry is headed. Tune in to stay up-to-date on the newest advancements and to hear the stories that are impacting the world of biologics.