AIMS
General population distributions of lipoprotein(a) (Lp(a)) are well-characterized. However, less is known about its distributions and associated event rates within high-risk populations, including individuals with atherosclerotic cardiovascular disease (ASCVD), chronic kidney disease (CKD) and varying levels of su...
Gaia Hermans, D. Bos, M. Kavousi et al.· European Journal of Preventi...· 0 citations
Obesity in women is a growing and multifaceted public health challenge, driven by complex interactions among biological, hormonal, and psychosocial factors across the life course. From menarche to menopause, hormonal fluctuations influence fat distribution, energy balance, and metabolic risk, contributing to sex-specif...
Miro Salih, Yannicke A. J. Sloots, M. Hemels et al.· Netherlands Heart Journal· 0 citations
It is suggested that federated deep learning across heterogeneous cohorts can improve cardiovascular disease risk prediction while preserving the privacy of individual-level patient data.
Hyunho Mo, Djura Smits, Mahlet A. Birhanu et al.· arXiv.org· 0 citations
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