Hematology

Construction of a predictive model for the risk of non-alcoholic fatty liver disease in patients with sleep apnea syndrome based on multiple machine learning algorithms: a multicenter study.

BACKGROUND: Sleep apnea syndrome (SAS) is closely related to an increased risk of non-alcoholic fatty liver disease (NAFLD), but current clinical tools lack the integration of multidimensional data for accurate risk prediction. This study employs various machine learning algorithms to develop and validate a risk prediction model for the occurrence of NAFLD in SAS patients. METHODS: This retrospect...

Development and validation of an interpretable machine learning model for early risk prediction of acute myocardial infarction.

BACKGROUND: Acute myocardial infarction (AMI) remains a leading cause of global morbidity and mortality, with early prediction critical for timely intervention. Traditional risk assessment tools are limited because of their reliance on limited variables and static thresholds. This study aims to develop an interpretable machine learning (ML) model using multidimensional clinical data for early AMI ...

Beyond eGFR and Albuminuria: Biological Pathways and Multiomics in Cardiovascular-Kidney-Metabolic Disease.

Cardiovascular-kidney-metabolic disease (CKM) represents a growing public health challenge driven by the convergence of obesity, diabetes, and cardiov...

Development and nested cross-validation of machine learning models for predicting transfusion requirements in pediatric craniosynostosis surgery.

Blood transfusion is common during pediatric craniosynostosis surgery; however, transfusion volumes and use of cell salvage systems can vary considera...

Hematopoietic Stem Cell Transplant and Brain Volume Changes in Adults With Sickle Cell Disease.

BACKGROUND AND OBJECTIVES: Adults with sickle cell disease (SCD) are at risk of decline in brain health and cognition, even without clinical stroke. S...

Identification and validation of cholesterol homeostasis and NK cell-associated predictive and therapeutic models for Coronary atherosclerotic heart disease patients with ST-elevated myocardial infarction: Insights from artificial intelligence and multi-omics.

OBJECTIVE: Dysregulation of Cholesterol homeostasis(CH) and NK cells proportion can increase risk of ST-Elevated Myocardial Infarction(STEMI) for Coro...

Diagnostic value of cytokine detection in children with Mycoplasma pneumoniae pneumonia complicated by bacterial or viral co-infections.

BACKGROUND: To evaluate the diagnostic value of cytokine levels in paediatric patients with Mycoplasma pneumoniae pneumonia (MPP) complicated by bacte...

From Flow to Feature Using a Proof-of-Concept Spectral-Driven Machine Learning Approach Using Smart Urinary and Drainage Catheter Systems: Algorithm Development and Validation.

BACKGROUND: Current urinary and drainage catheter systems collect fluids for visual inspection or manual sampling, offering limited diagnostic value w...

Cuffless hemodynamic monitoring with physics-informed machine learning models.

Wearable technologies have the potential to transform ambulatory and at-home hemodynamic monitoring by providing continuous assessments of cardiovascu...

Identification of Mitochondrial Dysfunction-Related Candidate Biomarkers and Analysis of the Immune Cell Infiltration in Epilepsy.

Epilepsy is a severe neurological disorder with complex pathogenesis. Mitochondrial dysfunction (MitD) is increasingly recognized as a key driver of e...

Blood biomarker trajectories in ICU-directed prediction models - A scoping review.

BACKGROUND: Despite advanced analytical methods and increasing data availability, most intensive care unit (ICU) prediction models rely on static meas...

Development and internal validation of a machine learning-based model for predicting postoperative complications after primary liver cancer resection.

OBJECTIVE: To identify risk factors for postoperative major complications after resection of primary liver cancer and to develop machine learning-base...

Predicting anemia treatment outcomes in maintenance hemodialysis patients using multiple machine learning models.

BACKGROUND: Based on machine learning prediction models, we explored the anemia treatment attainment of patients on maintenance hemodialysis (MHD) and...

Prediction of postoperative desaturation and bradycardia in neonates undergoing laparoscopic inguinal hernia repair: a retrospective cohort study.

BACKGROUND: Ex-premature infants have a high risk of postoperative apnea and bradycardia. This study aimed to develop a predictive model for postopera...

Droplet microfluidic profiling of NK cell cytotoxicity with machine learning-enabled target-cell death analysis.

Predicting the clinical efficacy of Natural Killer (NK) cell immunotherapies remains challenging due to functional heterogeneity within effector popul...

Cellular Senescence as a Systems-Level Driver of Cardiovascular Ageing.

Cellular senescence is increasingly recognized as a fundamental driver of cardiovascular ageing; however, its molecular heterogeneity, cell-type speci...

Classification of Serum Protein and Immunofixation Electrophoresis Images by Computer Vision-Based Deep Learning Models: A Single- and Dual-Modality Study.

Objectives: The objective of this study was to develop deep learning models for the automated classification of serum protein electrophoresis (SPE) an...

Hemovigilance in a Brazilian Amazon blood center: A temporal analysis of 5-year consumption patterns.

BACKGROUND: The transfusion of blood components remains a cornerstone in the management of hematological and onco-hematological diseases. Effective bl...

Metabolic, demographic, and behavioral risk factors predict brain structural variability in the general population: an analysis of the human connectome project young adults.

BACKGROUND: Understanding whether commonly available metabolic, demographic, and behavioral factors can explain variability in brain structure may sup...

Machine learning-driven decision support for antibiotic optimization in typhoid fever based on patient profiles.

INTRODUCTION: Typhoid fever remains a major Global public health concern, with treatment outcomes strongly influenced by antimicrobial resistance (AMR...