UK scientists create 3,800 digital heart models to advance personalized care

UK scientists create 3,800 digital heart models to advance personalized care
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In a landmark development, researchers from King’s College London, Imperial College London, and The Alan Turing Institute have created over 3,800 AI-powered “digital twins” of human hearts. Combining clinical imaging, machine learning, and mathematical modeling, the project marks the largest-scale effort to simulate patient-specific cardiac function.

The digital twins allow researchers to analyze how heart disease differs across age, sex, and lifestyle, potentially improving diagnosis and treatment. One key finding challenges existing gender-based assumptions in ECG interpretation, revealing that differences may stem from heart size, not function.

The models are also being developed for clinical use through partnerships with UK hospitals and cloud-based platforms that integrate with NHS systems. Future applications include real-time monitoring via implantable sensors and broader use across diseases like cancer.

Researchers say the technology could help personalize healthcare and reduce diagnostic bias, making care more equitable and effective. Physical 3D-printed hearts are also being used for education and surgical planning.