The 7th Annual Artificial Intelligence 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
