7th Annual AI/Machine Learning for Early Drug Discovery

The 7th Annual AI/Machine Learning for Early Drug Discovery is dedicated to the use of computational tools, machine learning (ML) algorithms, artificial intelligence (AI) models and data mining in preclinical drug development.

Topics

• Target identification
• How AI/ML can help in drug design
• PK/PD predictions
• Lead optimization
• Caveats and limitations of AI/ML-driven decision-making
• Early safety assessments
• AL/ML predictions for hit to lead identification
• Advances in AL/ML applications
• AL/ML modeling for protein degradation
• Case studies describing impact of AL/ML

Who should Attend

Attendees from:

• Target discovery
• Chemistry
• Bioinformatics
• Pharmacology