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

  • 2024/06/11
  • 再生時間： 1 時間 4 分
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Episode: 62 - AI/ML in Antibody Discovery and Engineering: Reality, Hope, Future, and Hype

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  • 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.

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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.

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