Hematology

High-density lipoprotein-related inflammatory ratios and coronary heart disease: A cross-sectional machine learning analysis of NHANES 2009 to 2020.

High-density lipoprotein (HDL)-related inflammatory ratios (monocyte-to-HDL cholesterol ratio [MHR],...

FDG-PET Medullary Total Tumor Volume Highlights High-Risk Newly Diagnosed Multiple Myeloma Patients in CASSIOPEIA Trial.

This study aimed to assess the prognostic value of medullary total metabolic tumor volume (mTMTV) de...

Beyond Percutaneous Coronary Intervention - Targeted Molecular Therapies for the Next Era of Coronary Care.

Coronary artery disease (CAD) remains the leading global cause of cardiovascular morbidity and morta...

A machine learning approach using echocardiographic and hematological parameters to classify cerebral small vessel disease burden.

BACKGROUND: Cerebral small vessel disease (CSVD) is a leading cause of stroke and dementia and is as...

GHMS-CycleGAN: Graph-Based Hierarchical Multi-stain CycleGAN for Stain Normalization and Classification in Digital Pathology.

The emergence of digital pathology (DP) has provided numerous computer-aided diagnosis (CAD) opportu...

Screening for Alzheimer's disease in the community using an AI-driven screening platform: design of the PREDICTOM study.

BACKGROUND: Recent developments in physiological, imaging and digital biomarkers combined with the a...

Artificial Intelligence in Cardiovascular Medicine: Focus on Hypertension.

Hypertension remains the most prevalent modifiable risk factor for cardiovascular morbidity and mort...

Perioperative blood loss in cardiac surgery: Validation of machine learning-derived clusters.

BackgroundThere is no universally accepted definition of perioperative blood loss in cardiac surgery...

Cardiovascular outcomes and subclinical atherosclerosis in metabolic-associated steatotic liver disease: long-term follow-up from a specialized outpatient cohort.

BACKGROUND AND AIMS: Cardiovascular disease is the main cause of mortality in metabolic-associated s...

GRNFormer: Accurate Gene Regulatory Network Inference Using Graph Transformer.

MOTIVATION: Deciphering gene regulatory networks (GRNs) from single-cell transcriptomics data remain...

MuCB-tabpfn: A multimodal feature fusion framework for predicting human blood concentrations of organic pollutants.

The accurate prediction of chemical concentrations in human blood is essential for evaluating health...

Personalized prediction of initial valproic acid dose in children with epilepsy using machine learning techniques.

INTRODUCTION: Valproic acid (VPA) is widely prescribed antiepileptic drug in children because of its...

Integrating Mechanistic Modeling and Machine Learning to Study CD4+/CD8+ CAR-T Cell Dynamics with Tumor Antigen Regulation.

Chimeric antigen receptor (CAR) T cell therapy has shown remarkable success in hematological maligna...

Evaluation of explainable machine learning models for predicting mid-term stone recurrence after percutaneous nephrolithotomy: a retrospective observational cohort study.

OBJECTIVE: To develop an explainable machine learning (ML) model to predict mid-term (3 years) stone...

EXPRESS: Identification of Acetylation-Related Molecular Signatures in Knee Osteoarthritis Patients with Significant Response to Warm-Needle Acupuncture Using Machine-Learning Approaches.

OBJECTIVE: This study aims to delineate remodeling effects of acetylation-related gene expression in...

Development and internal validation of a machine learning-based model to predict 1-year all-cause mortality in patients with gastrointestinal bleeding with type 2 diabetes.

Development and validation of an interpretable machine learning model integrating inflammatory blood biomarkers for predicting postoperative breast cancer-related lymphedema: A prospective cohort study.

BACKGROUND: Breast cancer-related lymphedema is a frequent and debilitating complication. Early iden...

A MULTIMODAL STOOL RNA, FIT AND MACHINE LEARNING CONCEPT FOR DETECTION OF ADVANCED PRECANCEROUS LESIONS AND COLORECTAL CANCER.

Accurate and effective early detection of colorectal cancer (CRC) and advanced precancerous lesions ...

A deep learning pipeline for mapping in situ network-level neurovascular coupling in multi-photon fluorescence microscopy.

Functional hyperemia is a well-established hallmark of healthy brain function, whereby local brain b...

Thrombopoietin receptor agonists in immune thrombocytopenia: a comparative review of mechanisms, efficacy, and the future of personalized management.

INTRODUCTION: Thrombopoietin receptor agonists (TPO-RAs) have reshaped the management of chronic imm...

Using artificial intelligence to predict sexual health outcomes in endometriosis: a decision tree model algorithm.

BACKGROUND: Endometriosis profoundly impairs sexual function through complex interactions between pa...