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Meet Us at DMEA 2026: Showcasing the Future of Global Health Data

Meet Us at DMEA 2026: Showcasing the Future of Global Health Data

At DMEA 2026 in Berlin, as a DMEA NOVA Award Winner 2025, we showcase PaiX Navigator, our global health data infrastructure driving diverse, clinically validated AI solutions across real-world settings.

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PAICON
From Data to Diagnostics
DMEA 2026 Digital Health Healthcare Innovation AI for All
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Event Summary

Date: April 21, 2026 - April 23, 2026
Time: 09:00 - 17:00
Location: Messe Berlin
Category: events
**Visit us at Hall 5.2 A-110**

This April, we will be at DMEA 2026 in Berlin, Europe’s leading event for digital health, joining the NOVA ecosystem following our recognition as the DMEA NOVA Award Winner 2025.

At DMEA, we will showcase how global, diverse, and clinically validated health data can unlock the full potential of medical AI. Through our work, we are building the infrastructure needed to ensure that AI solutions are not limited to a small fraction of the world’s population, but instead reflect real-world diversity.

At the center of this is PaiX Navigator, our end-to-end global health data infrastructure designed to support AI development, clinical applications, and diagnostic innovation. With datasets spanning 60+ countries and multiple modalities, PaiX enables more robust, generalizable, and impactful AI solutions.

During the event, our team will present a live demo of PaiX Navigator for the first time, introducing a new way to interact with and navigate complex, globally diverse health data.

Join us to explore:

  • How global, population-aware data infrastructure improves AI performance
  • How PaiX supports decision-making across clinical, research, and AI workflows
  • How PaiX Navigator redefines the way users engage with health data

Book a meeting with our team in advance to secure a dedicated time slot and explore potential collaborations.

We look forward to meeting clinicians, innovators, and partners who share our belief: AI that learns from everyone can diagnose everyone.

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