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 ...
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 ...
TMCnet

Top 5 MLOps Consulting Companies for Scalable AI Infrastructure

Compare 5 MLOps consulting companies for scalable AI infrastructure, model deployment, monitoring, and production ML support ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
chromatographyonline

2D-GC Maps Sulfur Compounds in Soy Sauce

Comprehensive 2D-GC coupled to H2S chemiluminescence enabled high-sensitivity sulfur speciation, expanding the SSFB sulfurome to 88 annotated compounds. Ensemble chemometrics and machine-learning ...
Hacker

Feature Selection for Imbalanced Datasets Using Pearson Distance and KL Divergence

Sergei Nasibian is a Quantitative Strategist at Rothesay with experience in data science and quantitative research. Sergei Nasibian is a Quantitative Strategist at Rothesay with experience in data ...
IEEE

Robust Semi-Supervised Feature Selection With Multi-Granularity Zentropy Modeling

Abstract: High-dimensional and weakly supervised (HiDWS) data present significant challenges for traditional machine learning and pattern recognition. Although semi-supervised feature selection has ...
Targeted Oncology

Machine Learning Model May Optimize Treatment Selection and Survival in HCC

The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...