Hematology

Comprehensive Multicenter Evaluation of an AI-Based Deep Learning System for Automated Blood Cell Classification and Morphologic Analysis.

BACKGROUND AND OBJECTIVES: Deep learning-based systems have shown promise in automating white blood ...

PLEKHA5-targeted photothermal-gene combination therapy via mPDA@DMEA@siRNA nanoparticles suppresses melanoma progression.

Melanoma is an aggressive skin malignancy characterized by high metastatic potential and resistance ...

Comment on ensemble model assisted classification of gastrointestinal bleeding using wireless capsule endoscopy.

Deep Residual Learning for Iodine Estimation in Digital Breast Tomosynthesis.

OBJECTIVE: Dual-energy contrast-enhanced digital breast tomosynthesis (DECE-DBT) could provide the q...

Individualized Therapy Optimization for Type 2 Diabetes: Retrospective Study of Model Development, Internal Validation, and Physician Evaluation.

BACKGROUND: Type 2 diabetes is a widespread chronic condition in which blood glucose and body weight...

Interpretable Machine Learning Predicts Successful Weaning and ICU discharge alive Following Prone Positioning Ventilation in Moderate-to-Severe Acute Respiratory Distress Syndrome (ARDS) Secondary to Pneumonia.

OBJECTIVE: We developed and validated interpretable machine learning models predicting successful we...

Hemoglobin Exhibits a U-Shaped Association with Obstructive Sleep Apnea at High Altitude: Machine-Learning and Exploratory Interventional Evidence.

OBJECTIVES: Chronic high-altitude hypoxia induces adaptive erythrocytosis, but the relationship betw...

Beyond blood pressure: AI-assisted multi-omics biomarker stratification for stroke risk in hypertension: clinical chemistry, analytical validation, and translational perspectives.

BACKGROUND: Hypertension remains a major contributor to stroke burden; however, conventional blood p...

An Explainable Machine Learning Model Integrating Clinical Parameters for Identifying Left Atrial Appendage Thrombus in Non-valvular Atrial Fibrillation.

OBJECTIVE: This study aimed to develop a predictive model for left atrial appendage thrombus (LAAT) ...

Insomnia is associated with altered arachidonic acid-induced platelet aggregation and lower cholesterol independent of age in aspirin-treated unstable angina: a machine learning analysis.

BACKGROUND: In aspirin-treated unstable angina (UA), heterogeneity in on-treatment arachidonic acid ...

Beyond the binding site: PROTAC-mediated protein degradation assists the therapeutic paradigm of hematological malignancies.

Hematological malignancies represent a growing global health burden, with conventional therapies lim...

Does it Fit? Testing a Novel Pediatric Surgical Risk Calculator in Africa.

BACKGROUND: Low- and middle-income countries (LMICs), particularly Sub-Saharan Africa, experience a ...

Identifying biomarkers for methotrexate efficacy in rheumatoid arthritis: a machine learning approach to whole-blood transcriptomic analysis.

OBJECTIVES: Methotrexate (MTX) is the first-line treatment for rheumatoid arthritis (RA), yet inadeq...

Convolutional neural network for red blood cell transfusion prediction: A machine learning based study.

BACKGROUND: Subjective, inconsistent clinician judgement on red blood cell (RBC) transfusion demand ...

Computational investigation and machine learning prediction of nanoparticle effects on hemodynamics in patient-specific aortic aneurysms.

This study presents a novel computational framework for nanoparticle-assisted drug delivery in abdom...

Incidence and Risk Factors for Development of Portal Hypertension and Sinusoidal Liver Injury Associated with T-DM1 in HER2-Positive Breast Cancer.

PURPOSE: While an association between trastuzumab emtansine (T-DM1) and development of portal hypert...

Deep learning-guided high-throughput screening and molecular dynamics simulations facilitate the discovery of potential FXIIa inhibitors.

CONTEXT: Pathological thrombosis is a major cause of cardiovascular and cerebrovascular diseases. Cu...

Future-proofing thalassaemia care: harnessing scalable therapies, artificial intelligence, and global collaboration.

Advances in the treatment of thalassaemia have led to major improvements in survival and quality of ...

Combined Network Pharmacology, Transcriptomics and Machine Learning Suggests Danggui Buxue Tang May Suppress Oxidative Stress and Inflammation through Nrf2/HO-1 and IL-17 Pathways in Pulmonary Fibrosis.

ETHNOPHARMACOLOGICAL RELEVANCE: Danggui Buxue Tang (DBT), a classical Chinese herbal formula of Astr...

Construction of a new reflex fluorescence platelet count confirmation model based on red blood cell and platelet parameters.

INTRODUCTION: We sought to clarify the interference of red blood cell (RBC) and platelet (PLT) param...

Explainable Machine Learning-Based Prediction of Progression-Free Survival in Prostate Cancer: Retrospective Cohort Study.

BACKGROUND: Progression-free survival (PFS) is a critical end point in oncology, yet real-world appl...