News-Medical.Net

New machine learning model improves cholesterol calculation accessibility

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

New machine-learning equation accurately assess LDL cholesterol risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
GitHub

aiXcoder-7B Code Large Language Model

As the capabilities of large code models are gradually being unearthed, aiXcoder has consistently pondered on how to make these models more beneficial in real development scenarios. To this end, we ...
ahajournals.org

Endocytosis, Transcytosis, and Retroendocytosis of HDL: Mechanisms, Pathophysiology, and Options for Clinical Exploitation

For over 50 years, many cell types have been shown to internalize HDLs (high-density lipoproteins) as whole particles, either degrading or resecreting them. HDL endocytosis occurs through at least 4 ...
ahajournals.org

Understanding HDL Metabolism and Biology Through In Vivo Tracer Kinetics

HDL (high-density lipoprotein), owing to its high protein content and small size, is the densest circulating lipoprotein. In contrast to lipid-laden VLDL (very-low-density lipoprotein) and LDL ...
IEEE

Code Generation Using Machine Learning: A Systematic Review

Abstract: Recently, machine learning (ML) methods have been used to create powerful language models for a broad range of natural language processing tasks. An important subset of this field is that of ...