health.tech26: Ahead of care with AI – predict, perform, personalize

12:00–12:30 Panel discussion – Beyond the buzzwords: the maturity of Lab-in-the-loop for small and large molecules

The panel explored how implementing “Lab-in-the-loop” for drug discovery has faced scientific, engineering and cultural hurdles and discussed what it has taken to enable seamless integration between “bits and atoms.” Panelists debated the maturity of closed-loop discovery, shared real-world lessons, highlighted bottlenecks in automation and data and outlined what could help accelerate adoption.

12:15–12:45 Keynote – AI-powered revolution in early disease detection and prevention

This keynote examined why many diseases have been detected too late — not necessarily because technology has been missing but because healthcare systems have been designed to react. The session challenged the “Sick-Care” status quo and discussed how AI-driven diagnostics could help enable prevention at scale provided leaders make the right system, data and investment decisions.

14:00–15:00 Masterclass – Implementing medical algorithms in clinical practice

This masterclass explored how clinical decision-making algorithms have been applied in real-world healthcare settings. Experts from leading organizations in Germany shared first-hand experiences with implementing and using algorithms to support clinical decisions and discussed practical challenges alongside observed impact. Recording is now available on this page.

16:00–17:00 Masterclass – EU Data Act and AI Act – opportunities and challenges

The EU's Data Act and AI Act reshape digital health regulation. This masterclass explored the practical implications of these frameworks, examined where compliance introduced friction versus strategic opportunities and outlined what healthcare organizations should do to prepare for data access, interoperability and trustworthy AI.

10:00–12:00 Session – The new launch blueprint: scaling human-centered and sustainable healthtech

The session explored the AI-first commercial vision: senior leaders detailed how generative and predictive AI were fundamentally reshaping drug launches. The session moved beyond theory, focusing on the real-world hurdles of scaling the AI 'blueprint' from cool experiment to standard, hyper-personalized commercial operation.

10:00–12:00 Workshop – The synergistic frontier: navigating drug-digital combinations in modern medicine

Drug-Digital combinations represents a leap in modern medicine, integrating pharmacological treatments with innovative digital technologies like wearables to enhance overall treatment efficacy. While holding enormous potential for complex diseases, significant hurdles remain. This invite-only session aimed to bring together domain experts to bootstrap a community of practice and discuss these challenges.

14:00–16:00 Session – The next era of predictive diabetes management

Data reveals trends, but foresight enables action. This session explored how advanced systems were moving beyond standard glucose monitoring. We discussed the integration of AI-driven predictive algorithms with user-centric design to empower individuals to anticipate and manage critical glucose levels. Discover the pathways we were pursuing to translate advanced technology into tangible improvements in the daily quality of life for patients.