Building the Lab of the Future - Connecting AI, Digitalisation and Automation for Closed-Loop Drug Discovery

June 04, 2026
AI in Drug Discovery Stage
  • A Moment of Choice: Takeda’s Lab of Tomorrow reflects a belief that research cannot be incrementally improved; it must be re-imagined. AI, digitalization, and automation are no longer optional tools; they are the foundation of how modern science must operate.  
  • The Prize: The goal is not efficiency, but impact: fewer and faster DMTA cycles, higher probability of technical and regulatory success, and the ability to bring truly differentiated medicines to patients sooner.  
  • What Real Transformation Demands: This work succeeds only with full commitment. No pilots that never scale. No AI layered onto legacy workflows. No tolerance for fragmented data. We aim to transform research into a new way of working.  
  • From Vision to Reality: We will share tangible proof points, including AI driving decisions in live programs, lab data flowing digitally through our SAIL partnership with TetraScience, and automated, integrated Tier 1 assay platforms operating as core scientific infrastructure.  
  • The Call to Action: We will close by asking a simple question: if not now, when? The next three years will define whether research organizations lead this transformation - or are defined by it. 
Speakers
Hans Bitter
Hans Bitter, Head of Computational Science & Data Strategy (R&D leadership team) - Takeda
Jonathan O'Connell
Jonathan O'Connell, Head of Drug Discovery Automation and Transformation - Takeda