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Each month, we will send key data updates, stories from the field, and new research on inclusive oncology AI.
Harmonization Over Volume: Why More Data Isn't Better
Why more data doesn’t always improve healthcare AI. Learn how data harmonization enhances generalization, reduces bias, and enables reliable clinical...
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...
PAICON at Health.Tech Global Summit Basel: Advancing Inclusive, Data-Driven AI in Healthcare
At Health.Tech Global Summit Basel, PAICON highlights the role of global, high-quality data and harmonization in building inclusive, trustworthy healthcare...
Why Medical AI Fails in the Real-World: From High Accuracy to Poor Generalization
Why medical AI models fail in real-world clinical settings despite high accuracy. Explore the generalization gap, data variability, and how...
Meet PAICON in Basel: Panel on Real-World Healthcare Innovation
Our co-founder & CEO will speak at Superlab Suisse in Basel on multimodal clinical data and AI-driven innovation, while the...
Insights from WHX Dubai: Scaling HealthTech with Purpose
At WHX Dubai, our CEO explored why scaling a HealthTech startup isn’t just about growth—it’s about building responsible AI infrastructure,...
External Validation in Cancer AI: Why Generalization is the Real Benchmark
External validation is emerging as the defining benchmark in cancer AI, as digital pathology models must demonstrate robust cross-institutional generalization...
Metadata is the Missing Infrastructure Layer in Cancer AI
Cancer AI doesn’t fail because of weak algorithms, but it fails because of missing metadata, the invisible infrastructure layer that...
PAICON’s CEO and Co-Founder to Speak at WHX Dubai 2026
Our co-founder & CEO Dr. Manasi Aichmueller Ratnaparkhe will take the stage at WHX Dubai 2026 to share her journey...
Subscribe to Our Monthly Newsletter
Each month, we will send key data updates, stories from the field, and
new research on
inclusive oncology AI.