Date:
Language:
Location:
06 November 2026, 08:30 - 17:30
The event will be held in English.
IRCAD, 1 place de l'Hôpital, 67000 Strasbourg, Grand EST Region, France
Click here to register.
Abstract:
Health Innovation Nexus 2026 will take place on 6 November in Strasbourg, bringing together companies, researchers and healthcare institutions from France, Germany and Switzerland to advance cross-border collaboration in healthcare innovation.
Key topics include data and digital health, research and clinical innovation, and emerging technologies. Through expert presentations, moderated roundtable discussions and B2B matchmaking sessions, participants will have the opportunity to exchange knowledge, explore new developments and establish valuable connections across the Upper Rhine ecosystem.
wega will join the event to engage with industry stakeholders and exchange perspectives on how effective data management, integrated IT systems and digital strategies can support innovation across the life sciences sector.
More details about the event can be found here.
Meet us at the Roundtable
Topic: Towards the European Health Data Space: Vision, Challenges, and Next Steps
Speaker: Nicolas Schaltenbrand
Date: Friday, 06 November 2026, 11:00 - 12:30
For us on site:
Nicolas Schaltenbrand
Head of Clinical Development Informatics at wega Informatik AG, Switzerland
Nicolas 's professional background is based on a dual qualification, as a clinical operational data expert and as an IT professional.
Nicolas has spent over 25 years in pharmaceutical/clinical development, business, informatics consulting and service delivery with a significant experience in the design and deployment of clinical information systems and technologies, with a special emphasis on cloud environment and international outsourcing business model related to clinical trials
Nicolas speaks both the language of clinical scientists and IT experts and can easily translate complex clinical process into operational reality.
He is interested in working towards improving efficiencies in Life Science industry using Machine Learning and Intelligence Artificial technologies.