

Episode: 62 - AI/ML in Antibody Discovery and Engineering: Reality, Hope, Future, and Hype
Jun 11, 2024
Industry experts discuss AI and ML in antibody discovery. They debate benchmarking methods, challenges in protein design, and advancements in AI tools. The panel emphasizes data-driven approaches, reproducibility of algorithms, and innovations in ADA data analysis. Overall, they highlight the potential of AI/ML in optimizing antibody discovery and engineering.
Chapters
Transcript
Episode notes
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Intro
00:00 • 4min
AI in Antibody Characterization: Value, Challenges, and Benchmarking
04:16 • 12min
Exploring the Role of Benchmarking in AI/ML for Antibody Discovery and Engineering
16:13 • 2min
Challenges and Opportunities in Applying Machine Learning to Protein Design
17:53 • 19min
Advancements in AI/ML for Antibody Discovery and Engineering
37:17 • 17min
Challenges in Reproducibility of Algorithms and Mining Biomedical Literature for AI Prediction
54:22 • 2min
Challenges and Innovations in ADA Data Analysis
56:01 • 6min
Exploring AI/ML Implementation in Antibody Discovery and Engineering
01:02:04 • 2min