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AI-powered ECG assessments may improve heart transplant rejection warnings
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Fusion42 · 20 October 2026 · Fusion42 review
NYU Langone Health researchers developed an AI model combining ECG and blood biomarkers to detect heart transplant rejection non-invasively, outperforming current blood test methods by reducing false positives and potentially sparing patients from biopsies.
This Wire brief sits within Fusion42's coverage of Medtech, and 2 sources have reported it between 7 Oct 2026 and 20 Oct 2026.
◆ ◆ The Wire takeaway
You can cut patient risk and costs by replacing invasive biopsy with AI-powered ECG analysis in heart transplants. This opens a path to earlier rejection detection and faster treatment decisions in transplant centres.
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2 sources · first reported 7 Oct 2026 · latest 20 Oct 2026
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