Results 141 to 150 of about 685,850 (392)

Dose-dependent long-term effects of nitrate on lipid profile in male rats [PDF]

open access: yesمجله پزشکی دانشگاه علوم پزشکی تبریز
Background. This study aims to investigate the long-term effects of different doses of nitrate on the lipid profile in male rats. Methods. Male Wistar rats (n = 60) were assigned to 6 groups (n = 10 per group).
Ramin Zeinodini   +3 more
doaj   +1 more source

Gluon self-energy in a two-flavor color superconductor [PDF]

open access: yes, 2001
The energy and momentum dependence of the gluon self-energy is investigated in a color superconductor with two flavors of massless quarks. The presence of a color-superconducting quark-quark condensate modifies the gluon self-energy for energies which ...
A.A. Abrikosov   +34 more
core   +2 more sources

The Changing Face of HDL and the Best Way to Measure It.

open access: yesClinical Chemistry, 2017
BACKGROUND HDL cholesterol (HDL-C) is a commonly used lipid biomarker for assessing cardiovascular health. While a central focus has been placed on the role of HDL in the reverse cholesterol transport (RCT) process, our appreciation for the other ...
S. Karathanasis   +3 more
semanticscholar   +1 more source

Enhanced Multitask Learning with Attention Sparse Routing Mechanism for Intelligent Diabetes Prediction

open access: yesAdvanced Intelligent Systems, EarlyView.
The model leverages patient time‐space information for pattern feature representations. Encoders extract first and second‐order features, aggregated with categorical embeddings and dense features. Task‐specific and shared experts use gated networks, with a dispatch layer routing information for diabetes risk evaluation and blood glucose prediction ...
Yingshuai Wang   +8 more
wiley   +1 more source

Influence of different fat emulsions with 10 or 20% MCT/LCT or LCT on lipoproteins in plasma of patients after abdominal surgery [PDF]

open access: yes, 1998
In patients after elective abdominal surgery, different fat emulsions were used to compare their efficacy in total parenteral nutrition and in normalizing plasma lipoprotein levels.
Hailer, Susanne   +2 more
core   +1 more source

HDL particle number and size as predictors of cardiovascular disease

open access: yesFrontiers in Pharmacology, 2015
Previous studies indicate that reduced concentrations of circulating high-density lipoprotein (HDL) particles can be superior to HDL-cholesterol (HDL-C) levels as a predictor of cardiovascular disease.
A. Kontush
semanticscholar   +1 more source

AI‐Driven Microphysiological Systems for Advancing Nanoparticle Therapeutics

open access: yesAdvanced Intelligent Systems, EarlyView.
This review outlines recent advances in integrating artificial intelligence with microphysiological systems for nanoparticle evaluation. It highlights data‐driven optimization, image‐based prediction, and AI‐enabled analysis frameworks that advance translational research and support the development of personalized nanomedicine. Nanoparticles (NPs) play
Yedam Lee   +3 more
wiley   +1 more source

Genetic obesity increases pancreatic expression of mitochondrial proteins which regulate cholesterol efflux in BRIN-BD11 insulinoma cells [PDF]

open access: yes, 2019
Pancreatic β-cells are sensitive to fluctuations in cholesterol content, which can damage the insulin secretion pathway, contributing to the aetiology of type 2 diabetes mellitus.
Caridis, Anna Maria   +4 more
core   +1 more source

The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio as a predictor of insulin resistance but not of β cell function in a Chinese population with different glucose tolerance status

open access: yesLipids in Health and Disease, 2016
Triglyceride/high-density lipoprotein-cholesterol (TG/HDL-C) ratio was a surrogate marker of IR; however, the relationship of TG/HDL-C with IR might vary by ethnicity. This study aims to investigate whether lipid ratios-TG/HDL-C, cholesterol/high-density
Mei‐cen Zhou   +8 more
semanticscholar   +1 more source

Clinlabomics‐Enabled Blending Ensemble Learning for Low‐Cost Pan‐Cancer Detection and Classification Using Routine Clinical Laboratory Data

open access: yesAdvanced Intelligent Systems, EarlyView.
Researchers develop clinlabomics assisted for cancer identification, an artificial intelligence‐powered system using routine clinical lab data to detect and identify 10 cancer types. Tested on 19 199 individuals, it achieves 90.39% sensitivity and 82.41% specificity in cancer detection, with 72.57% accuracy in identifying specific cancer types ...
Bowen Zhang   +9 more
wiley   +1 more source

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