Practical AI for Drug Discovery and Preclinical Development Summit

Topics

• Successes & Failures of Recent Practical Use Cases to Successfully Implement & Utilize Machine Learning in R&D Processes
• Utilising the Power of AI to Identify & Validate Novel Targets to Accelerate Early Drug Discovery Efforts
• Predictive Models for Drug Synthesis & Yield Optimization
• Accelerating Preclinical Development With AI-Predicted Outcomes & Automating Drug Design Workflows With AI
• Methods to Maximize Vendor Selection & Qualification
• Overcoming the Data Generation Bottleneck
• Reducing Drug Attrition Through AI-Enhanced Safety Profiling & Toxicity Prediction
• the Windows of Opportunity for AI/ML Methods in Healthcare