Closed-Loop DMTA: Automation in Molecular Optimization

Oct 28, 2026
Discovery Chemistry

• Understand how integrated Design–Make–Test–Analyze platforms enable rapid, iterative molecular optimization.
• Analyze the role of robotics, real-time analytics and active learning in autonomous experimentation.
• Determine how closed-loop feedback systems improve decision quality, reduce experimental burden and accelerate program progression.