Results 51 to 60 of about 3,049 (238)
Impact of LDL-Apheresis on inflammation and microcirculation
Atherosclerosis Supplements, 2009 Lipid-apheresis (LIPID-A) is highly effective in reduction of pro-atherosclerotic LDL-cholesterol and lipoprotein (a). It has been demonstrated in prospective and retrospective analyses to reduce major cardiovascular events. In addition to improvement of pro-atherosclerotic lipoprotein milieu, LIPID-A exerts pleiotropic effects on inflammation and ...
Koziolek, Michael J. +1 more
openaire +4 more sources
Spectrum of cardiovascular manifestations in homozygous familial hypercholesterolemia
Journal of Marine Medical Society, 2023 Homozygous familial hypercholesterolemia (HoFH) is a rare, primarily an autosomal dominant genetic disorder that causes markedly elevated low-density lipoprotein (LDL) cholesterol levels predisposing patients to risk of developing premature ...
Nitin Bajaj +3 more
doaj +1 more source
LDL: A Defense for Label-Based Membership Inference Attacks [PDF]
arXiv, 2022 The data used to train deep neural network (DNN) models in applications such as healthcare and finance typically contain sensitive information. A DNN model may suffer from overfitting. Overfitted models have been shown to be susceptible to query-based attacks such as membership inference attacks (MIAs). MIAs aim to determine whether a sample belongs to
arxiv
Cellular cholesterol efflux and cholesterol loading capacity of serum: effects of LDL-apheresis
Journal of Lipid Research, 2012 High LDL-cholesterol (LDL-C) characterizes familial hypercholesterolemia (FH) and familial combined hyperlipidemia (FCH). LDL-apheresis, used in these patients to reduce LDL-C levels, has been shown to also affect HDL levels and composition.
M.P. Adorni +9 more
doaj
Clinical Case Reports, 2019 We successfully treated a patient with homozygous familial hypercholesterolemia (HoFH) with stable coronary arterial disease using optimal medical therapy and low‐density lipoprotein (LDL) apheresis for 16 years without percutaneous coronary intervention
Takanori Yasu +6 more
doaj +1 more source
Bidirectional Loss Function for Label Enhancement and Distribution Learning [PDF]
arXiv, 2020 Label distribution learning (LDL) is an interpretable and general learning paradigm that has been applied in many real-world applications. In contrast to the simple logical vector in single-label learning (SLL) and multi-label learning (MLL), LDL assigns labels with a description degree to each instance. In practice, two challenges exist in LDL, namely,
arxiv
Generic mechanism for generating a liquid-liquid phase transition [PDF]
Nature 409, 692-695 (2001), 2001 Recent experimental results indicate that phosphorus, a single-component system, can have two liquid phases: a high-density liquid (HDL) and a low-density liquid (LDL) phase. A first-order transition between two liquids of different densities is consistent with experimental data for a variety of materials, including single-component systems such as ...
arxiv +1 more source
The design of retroviral vectors used in the CAR‐T products, risk management, and future perspective
MedComm, Volume 6, Issue 2, February 2025.This article compares gamma retroviral and lentiviral vectors, discussing packaging systems and SIN vector design. It also covers risks of secondary malignancies linked to retroviral vectors and strategies to minimize them. The article explores the regulatory framework, safety monitoring, and future safety improvements for CAR‐T therapy, emphasizing a ...
Huifang Yin, Xuejing Wei
wiley +1 more source
Turkish Journal of Hematology, 2012 OBJECTIVE: The aim of our study is to discuss the efficacy of low-density lipoprotein-cholesterol (LDL-C) apheresis procedure using the cascade filtration system for pediatric patients with homozygous familial hypercholesterolemia (FH), and to clarify ...
Fatih Kardas +7 more
doaj +1 more source
Vector Space Morphology with Linear Discriminative Learning [PDF]
arXiv, 2021 This paper presents three case studies of modeling aspects of lexical processing with Linear Discriminative Learning (LDL), the computational engine of the Discriminative Lexicon model (Baayen et al., 2019). With numeric representations of word forms and meanings, LDL learns to map one vector space onto the other, without being informed about any ...
arxiv