With high-caliber experts from the field AI in Medicine & Healthcare the BAIOSPHERE network set a clear substantive emphasis on the DLD Munich 2026. The BAIOSPHERE Health Track formed the kickoff for a joint BAIOSPHERE x DLD Vertical in May, with a deeper focus on AI in Medicine & Healthcare.
As part of the DLD Munich 2026, the launch of the Bavarian Health Cloud (BHC) announced. A central, government-supported research data platform that will securely consolidate Bavarian health data in the future and make it usable for medical research and personalized care using AI.
BAIOSPHERE Health Track Highlights
Thematic diversity from practice and research
The BAIOSPHERE Health-Track delves into key issues at the intersection of artificial intelligence, medicine, and health data. The focus is on concrete application examples and systemic challenges—from translating AI-based research into clinical practice to handling sensitive health data, as well as questions of scalability, regulation, and responsibility.
The track spans the content from medical imaging and data-driven, multimodal AI to digital health solutions and assistive technologies, ultimately addressing Responsible AI in the healthcare context. The perspectives of university hospitals, research institutions, start-ups, and industry partners highlight how closely research, application, and ecosystem development are intertwined in the Bavarian and European context.
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Impulses from politics, science, and business were provided by, among others:
Markus Blume (Bavarian State Ministry for Science and the Arts) and Judith Gerlach (Bavarian State Ministry for Health, Care, and Prevention) on the strategic positioning of AI and digitization in the healthcare sector. They set the political framework for the use of AI and data infrastructures in healthcare and emphasized the importance of the Bavarian Health Cloud for research and care in Bavaria.
Fabian Theis (Helmholtz Munich), chairman of the Bavarian AI Council, stated in his lecture "From Models to Medicines: AI-guided Experimental Biology" Insights into the use of AI-supported models in experimental biology.
Daniel Rückert (Technical University of Munich) showed in his lecture "AI and the Future of Medicine: From Sci-Fi to Your Doctor’s Office", how AI is driving the shift from reactive treatment to proactive, personalized, and preventive medicine and increasingly becoming part of everyday clinical practice.
The panel talk "From the Cell to Clinical Application" discussed how AI enables the transfer of biomedical research into clinical applications.
Speaker: Anna Bauer-Mehren (Roche Diagnostics, Bavarian AI Council), Simon Jacob (Technical University of Munich), Cyriac Roeding (Earli), Petra Schwille (Max Planck Institute for Biochemistry).
Moderation: Fabian TheisThe panel talk "AI in Healthcare: From Prototype to Production" illuminated the path of AI prototypes into application in healthcare.
Parlante: Jacqueline Lammert (TUM University Hospital rechts der Isar), Andreas Maier (FAU, Bavarian AI Council), Pierre Manceron (Raidium), Max Tschochohei (Google);
Moderation: Ralf Huss (BioM).
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News
Starting signal for the Bavarian Health Cloud: Bavaria's new data infrastructure for AI-supported medicine.
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Impressions of the BAIOSPHERE x DLD Future Hub in September 2025
Two days dedicated to the future: On September 10-11, 2025, the international AI community met at the Amerikahaus in Munich. International experts discussed the opportunities and responsibilities of artificial intelligence.
The conference brought together high-caliber experts from technology, science, business, politics, and culture. In panels, lectures, and interactive formats, it became clear that innovations must have a societal impact. Technical feasibility and societal relevance were equally in focus.
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