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LONDON, UK - JUNE 11: In a pioneering effort bridging the gap between engineering and medicine, researchers from King’s College London, Imperial College London, and The Alan Turing Institute have developed over 3,800 “digital twins” of human hearts, using artificial intelligence (AI) and real-world clinical data.These computer-generated models, accurate down to the finest anatomical and physiological details, offer unprecedented insights into how heart disease varies across age groups, sexes, and lifestyles. The landmark research marks the first time such a vast number of patient-specific digital cardiac models have been created and analyzed at scale.For the scientists behind the project, this achievement is more than just a technical milestone, signifying progress toward fairer, more personalized healthcare for millions.“When we normally think about analyzing or interpreting medical images, we’re often doing that using rules built over many years,” Steven Niederer, chair in biomedical engineering at Imperial College and senior author of the study, told Anadolu.“What we’re trying to do now is take ideas from how people design cars or airplanes – where you build a mathematical model and use it to predict performance – and apply that to the human heart.”The groundbreaking research combines machine learning, clinical imaging, and advanced mathematical modeling techniques. An essential aspect involves training AI to automatically segment, or “label,” parts of medical scans to precisely identify heart structures.“You might get an image which is just black and white, and we want to determine automatically which bits correspond to the heart,” explained Niederer.(Footage by Muhammed Yaylali/Anadolu Agency via Getty Images)