A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography
Evangelos K. Oikonomou(Yale University), Charalambos Antoniades(British Heart Foundation), Alexios S. Antonopoulos, Keith M. Channon(Centre for Human Genetics), Nikant Sabharwal(Oxford University Hospitals NHS Trust), Sujatha Kesavan(John Radcliffe Hospital), Christos P. Kotanidis(University of Oxford), Mohamed Marwan(Universitätsklinikum Erlangen), Sheena Thomas(University of Oxford), Milind Y. Desai(Cleveland Clinic), Scott D. Flamm(Cleveland Clinic), Michelle C. Williams(British Heart Foundation), Stephan Achenbach, L Herdman(University of Oxford), Katharine Thomas(University of Oxford), Alaa Alashi(Cleveland Clinic), Cheerag Shirodaria(Oxford University Hospitals NHS Trust), Marc R. Dweck(British Heart Foundation), Erika Hutt(Cleveland Clinic), Maria Lyasheva(John Radcliffe Hospital), Edwin J.R. van Beek(University of Edinburgh), David E. Newby(British Heart Foundation), Stefan Neubauer(University of Oxford), Andrew Kelion(John Radcliffe Hospital), Brian P. Griffin(Cleveland Clinic), Lampson Fan(John Radcliffe Hospital), Jemma C. Hopewell(University of Oxford), John Deanfield(Universidad de Londres), Ioannis Akoumianakis(John Radcliffe Hospital)
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