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AI may help catch heart transplant rejection without biopsies
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Fusion42 · 7 October 2026 · Fusion42 review
NYU Langone Health researchers developed an AI model that combines electrocardiograms and blood tests to detect heart transplant rejection with high accuracy, reducing the need for invasive biopsies in many cases.
This Wire brief sits within Fusion42's coverage of Digital Health, and 2 sources have reported it between 7 Oct 2026 and 20 Oct 2026.
◆ ◆ The Wire takeaway
You can start exploring AI-driven diagnostics that combine EKG and blood biomarkers to reduce heart transplant biopsy dependency. This approach opens a new pathway to earlier, less invasive rejection detection that could transform patient monitoring.
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2 sources · first reported 7 Oct 2026 · latest 20 Oct 2026
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