Cardiovascular

Dyslipidemia

Latest AI and machine learning research in dyslipidemia for healthcare professionals.

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Showing 946-966 of 4,006 articles
Acute coronary syndromes: mechanisms, challenges, and new opportunities.

Despite advances in research and patient management, atherosclerosis and its dreaded acute and chron...

May 2025 40358623
Machine-Learning Assisted Screening with FIND FH for Familial Hypercholesterolemia among Youth.

Although the American Academy of Pediatrics recommends universal lipid screening among children to f...

May 2025 40368242
Eliciting the Impact of Metformin and Statins on Prostate Cancer Outcomes from a Real-life National Database Analysis.

Several large analyses have revealed contradictory results regarding the association between prostat...

May 2025 40348654
Predicting peripartum depression using elastic net regression and machine learning: the role of remnant cholesterol.

BACKGROUND: Traditional statistical methods have dominated research on peripartum depression (PPD), ...

May 2025 40340559
Identification of Novel Diagnostic Markers for Atherosclerosis Using Machine-Learning Algorithms.

OBJECTIVE: To outline immune-cell infiltration and identify diagnostic genes for atherosclerosis (AS...

May 2025 40325572
Repurposing FDA-approved drugs as NLRP3 inhibitors against inflammatory diseases: machine learning and molecular simulation approaches.

Activation of NLRP3 (NOD-like receptor family, pyrin domain-containing protein 3) has been associate...

May 2025 38400742
[Coronary computed tomography in the clinical arena. Recent evidence and future perspectives].

In the past few years, computed tomography coronary angiography (CTCA) has rapidly become a widely u...

May 2025 40292505
Expert consensus document on artificial intelligence of the Italian Society of Cardiology.

Artificial intelligence (AI), a branch of computer science focused on developing algorithms that rep...

May 2025 40331418
A Two-Stage Interpretable Matching Framework for Causal Inference

Matching in causal inference from observational data aims to construct treatment and control group...

SydneyScapes: Image Segmentation for Australian Environments

Autonomous Vehicles (AVs) are being partially deployed and tested across various global locations,...

Predicting Prostate Cancer Diagnosis Using Machine Learning Analysis of Healthcare Utilization Patterns.

This study investigated healthcare utilization patterns prior to prostate cancer diagnoses, aiming t...

Apr 2025 40200434
CardioTabNet: A Novel Hybrid Transformer Model for Heart Disease Prediction using Tabular Medical Data

The early detection and prediction of cardiovascular diseases are crucial for reducing the severe ...

A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

Carotid atherosclerosis represents a significant health risk, with its early diagnosis primarily d...

ImplicitCell: Resolution Cell Modeling of Joint Implicit Volume Reconstruction and Pose Refinement in Freehand 3D Ultrasound

Freehand 3D ultrasound enables volumetric imaging by tracking a conventional ultrasound probe duri...

Machine Learning Framework for Early Power, Performance, and Area Estimation of RTL

A critical stage in the evolving landscape of VLSI design is the design phase that is transformed ...

A spatially resolved and lipid-structured model for macrophage populations in early human atherosclerotic lesions

Atherosclerosis is a chronic inflammatory disease of the artery wall. The early stages of atherosc...

A machine learning approach for Premature Coronary Artery Disease Diagnosis according to Different Ethnicities in Iran

Premature coronary artery disease (PCAD) refers to the early onset of the disease, usually before ...

Analysis of TEM micrographs with deep learning reveals APOE genotype-specific associations between HDL particle diameter and Alzheimer's dementia.

High-density lipoprotein (HDL) particle diameter distribution is informative in the diagnosis of man...

Jan 2025 39874947
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