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AI Model Maps Complication Risk in Type 1 Diabetes
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Fusion42 · 13 October 2026 · Fusion42 review
Researchers in Luxembourg and France developed an AI model using data from over 2000 adults with type 1 diabetes to identify seven clinical phenotypes that map risk of cardiovascular and renal complications, outperforming traditional A1c risk predictions. The model was externally validated on 600 new patients and aims to support personalized treatment and prevention strategies via a digital twin clinical decision-support tool.
This Wire brief sits within Fusion42's coverage of Digital Health.
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You can offer personalised diabetes care beyond A1c by mapping patient risk with AI-driven phenotypes. This opens doors for targeted therapies and digital twins that anticipate complications for your treatments.
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1 source · 13 Oct 2026
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