Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization
利用机器学习技术开发心脏数字孪生群体,可为传导和复极化提供电生理学方面的见解。
期刊:Nature Cardiovascular Research
影响因子:10.8
doi:10.1038/s44161-025-00650-0
Qian, Shuang; Ugurlu, Devran; Fairweather, Elliot; Toso, Laura Dal; Deng, Yu; Strocchi, Marina; Cicci, Ludovica; Jones, Richard E; Zaidi, Hassan; Prasad, Sanjay; Halliday, Brian P; Hammersley, Daniel; Liu, Xingchi; Plank, Gernot; Vigmond, Edward; Razavi, Reza; Young, Alistair; Lamata, Pablo; Bishop, Martin; Niederer, Steven