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Deep Learning-Augmented Sleep Spindle Detection for Acute Disorders of Consciousness: Integrating CNN and Decision Tree Validation.

IEEE transactions on bio-medical engineering Oct 1, 2025
Sleep spindles, which are key biomarkers of non-rapid eye movement stage 2 sleep, play a crucial role in predicting outcomes for patients with acute disorders of consciousness (ADOC). However, several critical challenges remain in spindle detection: ...
Signal Processing, Computer-Assisted Female Sleep Stages Reproducibility of Results Consciousness Disorders Adult Male Middle Aged Deep Learning Decision Trees Electroencephalography Humans Algorithms
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Multi-View Self-Supervised Learning Enhances Automatic Sleep Staging From EEG Signals.

IEEE transactions on bio-medical engineering Oct 1, 2025
Deep learning-based methods for automatic sleep staging offer an efficient and objective alternative to costly manual scoring. However, their reliance on extensive labeled datasets and the challenge of generalization to new subjects and datasets limi...
Algorithms Databases, Factual Female Young Adult Humans Signal Processing, Computer-Assisted Supervised Machine Learning Polysomnography Sleep Stages Adult Male Deep Learning Electroencephalography
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An Active Insole to Reduce Plantar Pressure Loading: Using Predictive Finite Element Driven Soft Hydraulic Actuators to Minimize Plantar Pressure and the Pressure Time Integral for Diabetic Foot Ulceration Risk Management.

IEEE transactions on bio-medical engineering Oct 1, 2025
OBJECTIVE: This article aims to design, manufacture and evaluate an active insole to reduce plantar tissue loading to minimise the risk of diabetic foot ulceration for people living with diabetes.
Walking Diabetic Foot Pressure Foot Male Middle Aged Robotics Equipment Design Finite Element Analysis Foot Orthoses Shoes Humans Female Adult Biomechanical Phenomena
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Why is AI Not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling.

IEEE transactions on visualization and computer graphics Oct 1, 2025
This paper explores the potential for human-AI collaboration in the context of data storytelling for data workers. Data storytelling communicates insights and knowledge from data analysis. It plays a vital role in data workers' daily jobs since it bo...
Artificial Intelligence Female Adult Communication Humans Computer Graphics Male Cooperative Behavior Middle Aged Interviews as Topic Narration
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The role of tumor microenvironment and immune cell crosstalk in triple-negative breast cancer (TNBC): Emerging therapeutic opportunities.

Cancer letters Sep 28, 2025
Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen, progesterone, and HER2 receptors, leading to limited treatment options and poor prognosis. This review synthesizes current research on the tumor micr...
Epithelial-Mesenchymal Transition Humans Cell Communication Female Tumor Microenvironment Triple Negative Breast Neoplasms
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Machine learning algorithms with body fluid parameters: an interpretable framework for malignant cell screening in cerebrospinal fluid.

Clinical chemistry and laboratory medicine Sep 25, 2025
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebrospinal fluid (CSF) body fluid parameters from hematology analyzers to screen for malignant cells.
Aged Humans Support Vector Machine Adult Machine Learning Male Cerebrospinal Fluid Algorithms Middle Aged Body Fluids Female Leukocyte Count
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Impact of analytical bias on machine learning models for sepsis prediction using laboratory data.

Clinical chemistry and laboratory medicine Sep 25, 2025
OBJECTIVES: Machine learning (ML) models, using laboratory data, support early sepsis prediction. However, analytical bias in laboratory measurements can compromise their performance and validity in real-world settings. We aimed to evaluate how analy...
Bias Blood Cell Count Leukocyte Count Humans Blood Sedimentation Machine Learning Male Female Middle Aged Aged Sepsis Support Vector Machine
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[The value of coronary angiography-derived fractional flow reserve and coronary angiography-derived index of microcirculatory resistance in coronary artery hemodynamic evaluation].

Zhonghua xin xue guan bing za zhi Sep 24, 2025
To evaluate the diagnostic value of coronary angiography-derived fractional flow reserve (FFR) and index of microcirculatory resistance (IMR) for identifying coronary functional abnormalities. This diagnostic study enrolled patients with clinically...
Coronary Vessels Microcirculation Vascular Resistance Fractional Flow Reserve, Myocardial Hemodynamics ROC Curve Coronary Angiography Coronary Artery Disease Female Aged Male Middle Aged Humans
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Machine learning-driven programmed cell death signature for prognosis and drug candidate discovery in diffuse large B-cell lymphoma: Multi-cohort study and experimental validation.

International immunopharmacology Sep 23, 2025
BACKGROUND: Relapse and drug resistance are major contributor to chemotherapy failure in diffuse large B-cell lymphoma (DLBCL). Programmed cell death (PCD), a key mechanism in tumor progression and resistance, has emerged as a promising biomarker for...
Humans Antineoplastic Agents Machine Learning Cohort Studies Cell Line, Tumor Mice Lymphoma, Large B-Cell, Diffuse Prognosis Nomograms Female Apoptosis Biomarkers, Tumor Male Xenograft Model Antitumor Assays Animals Middle Aged Drug Discovery
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MIA and CD163 as promising diagnostic biomarkers in vascular dementia: A multi-method study combining WGCNA, machine learning with validation in animal models and clinical samples.

International immunopharmacology Sep 23, 2025
Vascular dementia (VaD), the second most common form of dementia, lacks reliable biomarkers for early diagnosis. Here, we integrated weighted gene co-expression network analysis (WGCNA) with machine learning to identify novel biomarkers and immune-me...
Disease Models, Animal Antigens, CD Receptors, Cell Surface Dementia, Vascular Antigens, Differentiation, Myelomonocytic CD163 Antigen Animals Male Humans Gene Regulatory Networks Rats Machine Learning Macrophages Biomarkers Female Aged
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