The Vaso-Occlusive Pain Crisis in Sickle Cell Patients: A Focus on Pathogenesis

Current Research in Translational Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 103512 - 103512

Published: March 1, 2025

Language: Английский

New Machine Learning Method for Medical Image and Microarray Data Analysis for Heart Disease Classification

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Microarray technology has become a vital tool in cardiovascular research, enabling the simultaneous analysis of thousands gene expressions. This capability provides robust foundation for heart disease classification and biomarker discovery. However, high dimensionality, noise, sparsity microarray data present significant challenges effective analysis. Gene selection, which aims to identify most relevant subset genes, is crucial preprocessing step improving accuracy, reducing computational complexity, enhancing biological interpretability. Traditional selection methods often fall short capturing complex, nonlinear interactions among limiting their effectiveness tasks. In this study, we propose novel framework that leverages deep neural networks (DNNs) optimizing using data. DNNs, known ability model patterns, are integrated with feature techniques address high-dimensional The proposed method, DeepGeneNet (DGN), combines DNN-based into unified framework, ensuring performance meaningful insights underlying mechanisms. Additionally, incorporates hyperparameter optimization innovative U-Net segmentation further enhance accuracy. These optimizations enable DGN deliver scalable results, outperforming traditional both predictive accuracy Experimental results demonstrate approach significantly improves compared other methods. By focusing on interplay between learning, work advances field genomics, providing interpretable future applications.

Language: Английский

Inflammasomes and Cardiovascular Disease: Linking Inflammation to Cardiovascular Pathophysiology

Scandinavian Journal of Immunology, Journal Year: 2025, Volume and Issue: 101(4)

Published: April 1, 2025

Cardiovascular diseases (CVDs) remain a leading cause of global mortality, driven by risk factors such as dyslipidemia, hypertension and diabetes. Recent research has highlighted the critical role inflammasomes, particularly NLRP3 inflammasome, in pathogenesis various CVDs, including hypertension, atherosclerosis, myocardial infarction heart failure. Inflammasomes are intracellular protein complexes that activate inflammatory responses through production pro-inflammatory cytokines IL-1β IL-18, contributing to endothelial dysfunction, plaque formation injury. This review provides comprehensive overview structure, activation mechanisms pathways with focus on their involvement cardiovascular pathology. Key include ion fluxes (K+ efflux Ca2+ signalling), endoplasmic reticulum (ER) stress, mitochondrial dysfunction lysosomal destabilisation. The also explores therapeutic potential targeting inflammasomes mitigate inflammation improve outcomes CVDs. Emerging strategies small-molecule inhibitors, biologics RNA-based therapeutics, particular emphasis inhibition. Additionally, integration artificial intelligence (AI) offers promising avenues for identifying novel biomarkers, predicting disease developing personalised treatment strategies. Future directions should understanding interactions between other immune components, well genetic regulators, uncover new targets. By elucidating complex this underscores innovative therapies address inflammation-driven pathology, ultimately improving patient outcomes.

Language: Английский