Results 151 to 160 of about 188,341 (310)
Acute impact of apheresis on oxidized phospholipids in patients with familial hypercholesterolemia1
We measured oxidized phospholipids (OxPL), lipoprotein (a) [Lp(a)], and lipoprotein-associated phospholipase A2 (Lp-PLA2) pre- and postapheresis in 18 patients with familial hypercholesterolemia (FH) and with low(∼10 mg/dl; range 10–11 mg/dl ...
Kiyohito Arai+8 more
doaj
Treatment-resistant PLA2R-negative membranous nephropathy responsive to low-density lipoprotein apheresis. [PDF]
Szymanski JM+3 more
europepmc +1 more source
THE EFFECT LDL APHERESIS ON PERIPHERAL CIRCULATION
Yasunori KUTSUMI+3 more
openalex +1 more source
LDL Apheresis And/or Human Monoclonal Antibodies as Treatment in Se-vere Dyslipoproteinemia
olf Bambauer, Ralf Schiel
openalex +1 more source
Incremental Label Distribution Learning with Scalable Graph Convolutional Networks [PDF]
Label Distribution Learning (LDL) is an effective approach for handling label ambiguity, as it can analyze all labels at once and indicate the extent to which each label describes a given sample. Most existing LDL methods consider the number of labels to be static.
arxiv
B. Haddad+15 more
semanticscholar +1 more source
Ulrich Julius Lipidology and Center for Extracorporeal Therapy, Department for Internal Medicine III, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Dresden, Germany Abstract: This review reports the current situation ...
Julius U
doaj
Strategies to reduce line infections in a small child with homozygous familial hypercholesterolaemia who cannot yet receive LDL apheresis. [PDF]
Lee M, Barr J, Kribs S, Filler G.
europepmc +1 more source
Rethinking Label-specific Features for Label Distribution Learning [PDF]
Label distribution learning (LDL) is an emerging learning paradigm designed to capture the relative importance of labels for each instance. Label-specific features (LSFs), constructed by LIFT, have proven effective for learning tasks with label ambiguity by leveraging clustering-based prototypes for each label to re-characterize instances.
arxiv
Changes in Lipoprotein Profile after Selective LDL Apheresis
Tomohito Matsunaga+4 more
openalex +2 more sources