Hematology

Lesion-level dual-tracer PET biomarkers predict prognosis in multiple myeloma treated with CXCR4-directed radiopharmaceutical therapy.

BACKGROUND: C-X-C motif chemokine receptor 4 (CXCR4)-directed radiopharmaceutical therapy (RPT) repr...

Identification of molecular diagnostic markers and potential therapeutic drugs for Sjögren's syndrome.

Sjögren's Syndrome (SS) is a long-term autoimmune disorder marked by damage to exocrine glands and i...

Hypoglycemia problem-solving ability as a key predictor of severe hypoglycemia: a machine learning approach in adults with type 1 diabetes.

AIMS/INTRODUCTION: Severe hypoglycemia (SH) is a major complication in adults with type 1 diabetes m...

Identification of clinical phenotypes and disease trajectories in SLE using AI through a natural language processing framework.

OBJECTIVES: Electronic Health Records (EHRs) contain a wealth of unstructured patient data that can ...

Ethical dilemmas in the use of artificial intelligence in transfusion medicine.

Artificial intelligence (AI) and machine learning (ML) are beginning to enhance key workflows across...

Explainable machine learning for risk prediction of acute cardiac tamponade during atrial fibrillation ablation.

Cardiac tamponade is a rare yet catastrophic complication during atrial fibrillation (AF) catheter a...

Investigating feature-engineered predictors for systolic blood pressure changes in an mHealth-based disease management program.

Mobile health (mHealth)-based disease management programs enable continuous monitoring of blood pres...

Machine learning-based prediction of significant intraoperative blood loss to guide risk-adapted blood management decisions in spinal surgery.

INTRODUCTION: Significant blood loss (≥ 500 mL) during spinal surgery is common and linked to greate...

Prediction model for deep vein thrombosis stability based on multiple machine learning methods.

BackgroundThis study aimed to develop multiple machine learning (ML) models to predict DVT stability...

Early prediction of transfusion requirements in trauma patients using explainable machine learning.

INTRODUCTION: Hemorrhagic shock is the most common preventable cause of death in trauma patients. Ea...

Use of artificial intelligence in transfusion medicine practice, education and research: A mixed methodology study.

BACKGROUND AND OBJECTIVES: The artificial intelligence (AI) field holds significant promise to revol...

Using unmanned aerial vehicles (drones) to improve access to blood in low- and middle-income countries: Current challenges and opportunities.

Blood transfusion is life-saving for patients in emergencies, but low- and middle-income countries (...

A Machine Learning-Based Prognostic Model for Sepsis-Associated Liver Injury Using Routine Indicators.

OBJECTIVE: Sepsis-associated liver injury (SALI) occurs in approximately 40% of sepsis cases and is ...

Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole-Blood RNA Transcriptome.

OBJECTIVE: Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinic...

Expanding the horizon of oculomics: A narrative review on the emerging roles of the anterior segment and mobile health.

Oculomics uses the eye to gain insights into systemic health. Although initially focused on retinal ...

Machine learning and AI-Assisted red blood cell morphology analysis for effective thalassemia screening.

Automatic Detection of Subcellular-Scale Metabolic Dynamics via Spontaneous-Stimulated Raman Spatial Colocalization.

Cellular structural heterogeneity and low intrinsic contrast in label-free bright-field imaging hind...

Decoding lactylation in neuropathic pain: Immune cell infiltration patterns and machine learning-identified candidate biomarkers.

This study aimed to identify lactylation-associated genes linked to immune infiltration and diagnost...

Research on the Prediction of Coal Workers' Pneumoconiosis Based on Easily Detectable Clinical Data: Machine Learning Model Development and Validation Study.

BACKGROUND: Coal workers' pneumoconiosis (CWP) is the most prevalent occupational disease that cause...

Early Risk Factor Prediction in Chronic Kidney Disease Diagnosis Using Feature Selection and Machine Learning Algorithms.

Chronic kidney disease, CKD in short, is a kind of long-term kidney illness in which rapid deteriora...

Comprehensive performance assessment of the BMIA-12 a system for bone marrow cell quantification in normal and hematological malignancy samples.