Anemia

Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes.

INTRODUCTION AND OBJECTIVES: Steatotic liver disease (SLD) is a leading cause of liver disease worldwide. Itsstratified into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), and alcohol-associated liver disease (ALD) based on self-reported alcohol use remains a challenge. We developed the Steatosis Liver Index (S...

Integrated Toxicogenomic Analysis Reveals Potential Molecular Signatures Associated with Cadmium-Related Osteoarthritis.

Osteoarthritis (OA) is a common chronic joint disease, and cadmium (Cd) exposure may contribute to its progression. This study integrated network toxicology, transcriptomic datasets from the Gene Expression Omnibus (GEO), weighted gene co-expression network analysis (WGCNA), and machine-learning methods to identify molecular signatures potentially associated with Cd exposure-related OA. A total of...

Technology fatigue, cognitive load, and clinician well-being in modern anesthesia practice.

PURPOSE OF REVIEW: Medical devices like physiologic monitors, anesthesia machines, and ventilators, are designed by biomedical engineers but used by c...

Association Between the Dietary Inflammatory Index and Cardiorenal Anemia Syndrome: Evidence From NHANES and Related-Phenotype Exploration in KNHANES.

Cardiorenal anemia syndrome (CRAS) links heart failure, chronic kidney disease, and anemia, but the role of diet-related inflammation remains unclear....

Machine Learning Models for Predicting Pain, Fatigue, Depression, Anxiety, and Malnutrition in Cancer Patients: A Systematic Review and Meta-Analysis.

INTRODUCTION: Cancer-related symptoms including pain, fatigue, depression, anxiety, and malnutrition drive poor quality of life and adverse clinical o...

Navigating uncertainty matters: Evaluating large language models for drug-drug interaction identification.

BACKGROUND: Accurate detection of drug-drug interactions (DDIs) is a fundamental component of safe medication management. Traditional rule-based clini...

Artificial intelligence in emergency medicine: from algorithmic performance to real-world clinical integration - understanding the implementation gap.

BACKGROUND: Emergency departments (EDs) operate under time pressure, diagnostic uncertainty, and cognitive overload. Artificial intelligence (AI)-driv...

Inverse association between serum sLRP-1 levels and obstructive sleep apnea in snoring individuals: a case-control study based on polysomnography and machine learning models.

BACKGROUND: Obstructive sleep apnea (OSA) is a common but underdiagnosed sleep disorder characterized by intermittent hypoxia and systemic inflammatio...

Critical result thresholds and notification practices in clinical laboratories.

Laboratory medicine plays an important role in clinical decision-making. The timely notification of results requiring medical attention is therefore e...

Sodium Danshensu Attenuates Renal Ischemia-Reperfusion Injury by Suppressing STAT3-Driven Cytokine Signaling and Apoptosis.

OBJECTIVE: To evaluate the renoprotective effects and underlying molecular mechanisms of sodium danshensu (SDSS) in renal ischemia-reperfusion (RIR) i...

Antibiotic Resistance in Helicobacter pylori: Pathogenic Mechanisms and Eradication Barriers.

Antibiotic resistance in Helicobacter pylori is an important factor in the ineffectiveness of eradication regimens. The rate of resistance is not cons...

Synergistic cell-wall architecture tuning and skeleton reinforcement for wood sponges with superelasticity and exceptional fatigue resistance.

Elastic wood sponges are sustainable, low-cost, and multifunctional materials that have gained extensive attention and rapid development. However, the...

Hypoxia-Driven Mechanisms in Ischemic Heart Failure: A Bioinformatics, Machine Learning and Bayesian Network Study.

Hypoxia is a critical determinant in the etiology and progression of ischemic heart failure, but its underlying molecular mechanisms and regulatory in...

DeepPathway: Predicting Pathway Expression from Histopathology Images.

MOTIVATION: Spatial transcriptomics (ST) technologies provide spatially resolved gene expression along with image data, allowing the integrative analy...

MTGNet: A task-oriented and spectrally guided framework for EEG denoising.

Electroencephalography (EEG) is widely used in brain-computer interfaces (BCIs), but its microvolt-level signals are easily contaminated by electromyo...

Reinventing the echocardiography workflow: from manual quantification to artificial intelligence-driven comprehensive interpretation.

Echocardiography remains the cornerstone of cardiovascular imaging. However, traditional workflows including manual acquisition, sequential measuremen...

Explainable artificial intelligence reveals key surgical parameters in robot-assisted and open radical prostatectomy.

Preoperative risk stratification for radical prostatectomy is crucial, yet predicting the wide range of postoperative outcomes remains a significant c...

Identification of Aging and Mitochondria-Related Hub Genes in Dilated Cardiomyopathy.

Dilated cardiomyopathy (DCM) is characterized by left ventricular dilation and systolic dysfunction and is associated with mitochondrial dysfunction a...

Performance-Based Frailty Tools Capture Distinct Risk Phenotypes in Kidney Transplant Candidates: A Comparative Analysis of FRAIL and SPPB.

Frailty predicts adverse outcomes in kidney transplant candidates, but it remains unclear whether different frailty tools identify the same or distinc...

HIF1A-Associated Ferroptosis-Related Gene Signatures Reveal Candidate Circulating Biomarkers in Diabetic Nephropathy.

Diabetic nephropathy (DN) is a major microvascular complication of diabetes. Hypoxia-inducible factor 1-alpha (HIF1A) and ferroptosis contribute to th...