AIMC Topic: Cholesterol
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Modeling time-to-event (survival) data using classification tree analysis.
Journal of evaluation in clinical practice
Jul 3, 2017
RATIONALE, AIMS, AND OBJECTIVES: Time to the occurrence of an event is often studied in health research. Survival analysis differs from other designs in that follow-up times for individuals who do not experience the event by the end of the study (cal...
Antifungal activity of sterols and dipsacus saponins isolated from Dipsacus asper roots against phytopathogenic fungi.
Pesticide biochemistry and physiology
Dec 18, 2016
The in vivo antifungal activity of crude extracts of Dipsacus asper roots was evaluated against the phytopathogenic fungi Botrytis cinerea, Colletotrichum coccodes, Blumeria graminis f. sp. hordei, Magnaporthe grisea, Phytophthora infestans, Puccinia...
Serum 25-hydroxyvitamin D and metabolic syndrome in a Japanese working population: The Furukawa Nutrition and Health Study.
Nutrition (Burbank, Los Angeles County, Calif.)
Mar 16, 2016
OBJECTIVE: Increasing evidence has suggested a protective role of vitamin D on metabolic syndrome (MetS). However, studies addressing this issue are limited in Asia and it remains unclear whether calcium could modify the association. We examined the ...
Asian People
Humans
Japan
Vitamin D Deficiency
Blood Glucose
Female
Waist Circumference
Multivariate Analysis
Risk Factors
Logistic Models
Nutritional Status
Metabolic Syndrome
Triglycerides
Aged
Middle Aged
Blood Pressure
Calcium, Dietary
Body Mass Index
Exercise
Cholesterol
Multilevel Analysis
Young Adult
Vitamin D
Prevalence
Adult
Adolescent
Cross-Sectional Studies
Male
Predicting peripartum depression using elastic net regression and machine learning: the role of remnant cholesterol.
BMC pregnancy and childbirth
May 8, 2025
BACKGROUND: Traditional statistical methods have dominated research on peripartum depression (PPD), but innovative approaches may provide deeper insights. This study aims to predict the impact factors of PPD using elastic net regression (ENR) combine...
Incremental modelling and analysis of biological systems with fuzzy hybrid Petri nets.
Briefings in bioinformatics
Nov 22, 2024
Modelling biological systems depends on the availability of data and components of the system at hand. As our understanding of these systems evolves, the ability to gradually refine models by adding new components of different formalisms covering sto...
DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies.
Biostatistics (Oxford, England)
Apr 15, 2024
Transcriptome-wide association studies (TWAS) have been increasingly applied to identify (putative) causal genes for complex traits and diseases. TWAS can be regarded as a two-sample two-stage least squares method for instrumental variable (IV) regre...
Improving the accuracy and convergence of drug permeation simulations via machine-learned collective variables.
The Journal of chemical physics
Jul 28, 2021
Understanding the permeation of biomolecules through cellular membranes is critical for many biotechnological applications, including targeted drug delivery, pathogen detection, and the development of new antibiotics. To this end, computer simulation...
Machine learning reveals serum sphingolipids as cholesterol-independent biomarkers of coronary artery disease.
The Journal of clinical investigation
Mar 2, 2020
BACKGROUNDCeramides are sphingolipids that play causative roles in diabetes and heart disease, with their serum levels measured clinically as biomarkers of cardiovascular disease (CVD).METHODSWe performed targeted lipidomics on serum samples from ind...
Incubation with Cholesterol-loaded Cyclodextrin and Subsequent Dilution in Partially Deoxygenated Extender Improves the Freezability of Cross-bred Bull Sperm.
Cryo letters
Jan 1, 2020
BACKGROUND: The cryopreservation process induces osmotic stress, membrane changes and production of reactive oxygen species resulting in damage to the spermatozoa. Together, the presence of oxygen in the extender aggravates the oxidative stress that ...
Identifying patients with familial hypercholesterolemia using data mining methods in the Northern Great Plain region of Hungary.
Atherosclerosis
Oct 1, 2018
BACKGROUND AND AIMS: Familial hypercholesterolemia (FH) is one of the most frequent diseases with monogenic inheritance. Previous data indicated that the heterozygous form occurred in 1:250 people. Based on these reports, around 36,000-40,000 people ...
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