AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Cholesterol

Showing 21 to 30 of 42 articles

Clear Filters

Cholecalciferol, Ergosterol, and Cholesterol Enhance the Antibiotic Activity of Drugs.

International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition
UNLABELLED: Background: This is the first report demonstrating the antibiotic-modifying activity of cholecalciferol.

Effect of Cholesterol-loaded Cyclodextrin on Membrane and Acrosome Status of Hariana Bull Sperm during Cryopreservation.

Cryo letters
BACKGROUND: The membrane and acrosomal integrity of sperm play a vital role in fertilization process; however they are compromised upon cryopreservation.

Unsupervised Machine Learning for Analysis of Phase Separation in Ternary Lipid Mixture.

Journal of chemical theory and computation
Phase separation in mixed lipid systems has been extensively studied both experimentally and theoretically because of its biological importance. A detailed description of such complex systems undoubtedly requires novel mathematical frameworks that ar...

In silico prediction of blood cholesterol levels from genotype data.

PloS one
In this work we present a framework for blood cholesterol levels prediction from genotype data. The predictor is based on an algorithm for cholesterol metabolism simulation available in literature, implemented and optimized by our group in the R lang...

Generalized Pharmacometric Modeling, a Novel Paradigm for Integrating Machine Learning Algorithms: A Case Study of Metabolomic Biomarkers.

Clinical pharmacology and therapeutics
There is an unmet need for identifying innovative machine learning (ML) strategies to improve drug treatment regimens and therapeutic outcomes. We investigate Generalized Pharmacometric Modeling (GPM), a novel paradigm that integrates ML algorithms w...

A machine learning approach to estimation of phase diagrams for three-component lipid mixtures.

Biochimica et biophysica acta. Biomembranes
The plasma membrane of eukaryotic cells is commonly believed to contain ordered lipid domains. The interest in understanding the origin of such domains has led to extensive studies on the phase behavior of mixed lipid systems. Three-component phase d...

Machine learning reveals serum sphingolipids as cholesterol-independent biomarkers of coronary artery disease.

The Journal of clinical investigation
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...

A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre.

Nature biomedical engineering
Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we report the development and validation of deep-learning models for the automated measurement of retinal-vessel calibre in retinal photographs, using divers...