Scientific Research Publishing

A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data ()

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
Frontiers

Meta-analysis of multi-center transcriptomic profiles and machine learning reveal phospholipase Cβ4 as a Wnt/Ca² + signaling mediator in glioblastoma immunotherapy

Introduction: Glioblastoma (GBM) is a highly aggressive brain tumor characterized by pronounced invasiveness, rapid progression, frequent recurrence, and poor clinical prognosis. Current treatment ...
BMJ

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...
IEEE

Heart Attack Prediction by Integrating Independent Component Analysis with Machine Learning Classifiers

Abstract: Detecting heart attack conditions at an early stage is crucial for healthcare, making innovative solutions that contribute to prevention and overall health improvement imperative. Machine ...
IEEE

Myocardial Infarction Classification Based on Electrocardiogram Signals using Principal Component Analysis with Support Vector Machine and Adaboost

Abstract: Myocardial infarction (MI) remains one of the primary causes of morbidity and mortality worldwide, making early and accurate detection crucial in reducing death rates. Electrocardiogram (ECG ...