Manuel A Morales, Fahime Ghanbari, Shiro Nakamori, Salah Assana, Amine Amyar, Siyeop Yoon, Jennifer Rodriguez, Martin S Maron, Ethan J Rowin, Jiwon Kim, Robert M Judd, Jonathan W Weinsaft, Reza Nezafat
Deformation-encoding Deep Learning Transformer for High-Frame-Rate Cardiac Cine MRI
Radiology. Cardiothoracic imaging
study aimed analyze population characteristics apheresis platelet donors chongqing province provide scientific basis development precise efficient recruitment strategies ultimate goal increase number regular platelet donors preparation public health emergencies study involved 53089 blood donors donated apheresis platelets chongqing blood center 2020 2022 data regarding age sex blood type education level occupation frequency blood donation collected analyzed identify factors influencing platelet donation 2020 2022 majority apheresis platelet donors chongqing aged 2535 years maletofemale ratio 261 abo blood group distribution b ab apheresis platelet donors mainly consisted college students donors donated accounted greatest proportion based population characteristics apheresis platelet donors chongqing blood collection supply organizations must refine emergency blood collection supply plans public health emergencies study underscores importance developing precise efficient recruitment strategies apheresis platelet donors expanding pool regular apheresis platelet donors measures essential ensure timely safe effective use clinical blood resources public health emergencies