Presented by Moderator: Apoorva Sarode, Principal Scientist (Technology), Genentech Panellists: Yogeshwar Bachhav, Director, AiCuris Anti-infective Cures AG; René Holm, Professor, University of Southern Denmark

• Release kinetics
• Stability & compatibility
• Uniformity of dosage
• In Vitro-In Vivo Correlations
• Patient compliance
• Controlled release technologies & excipients

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Presented by Abhijat Vatsyayan, Head of Artificial Intelligence & Innovation, Taiho Oncology Panellists: Andreas Bender, Chief Informatics & Technology Officer, Pangea Bio & Professor of Molecular Informatics, University of Cambridge Ed Addison, CEO & Chairman, Cloud Pharmaceuticals & Adjunct Professor, North Carolina State University Lihua Yu, Chief Data Officer, LifeMine Therapeutics

• Functional approximation in machine learning
• Supervised vs. semi-supervised learning
• The importance of large data in AI
• Overview of decision trees, deep MLPs, CNNs, Transformers,  GNNs, GANs, encoder-decoder models, and decoder-only networks

• Parallels between training AI on text and chemical structures

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• Cutting-edge approaches in drug discovery
• Advanced technologies in therapeutics
• Celebrating innovation & moving towards novel modalities

 

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Join us for an insightful webinar where you will discover the latest advancements in bispecific antibody (bsAb) production, tailored to enhance your antibody drug discovery process. BsAb production continues to face challenges such as heterogeneity, production complexity, and stability issues, all of which can significantly affect the quality of the final product. In this webinar, our expert will introduce innovative strategies that range from high-throughput (HTP) small-scale screening of bsAb pairings to efficient and scalable production methods. Wet-lab case studies will demonstrate the successful application of these strategies, providing you with actionable insights.

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• The links between the immune system and neurological diseases
• Focus on neurodegenerative & CNS diseases - what do we know?
• How could this transform therapeutics in the future?

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