Hematology

Identification and Screening of Lactate-Related Genes as Molecular Markers for Early Diagnosis of Steroid-Induced Osteonecrosis of the Femoral Head.

Steroid-induced osteonecrosis of the femoral head (SONFH) is a major cause of disability among young...

[Artificial intelligence-assisted diagnostics in the pathology of internal and oncological diseases].

BACKGROUND: Artificial intelligence (AI) is increasingly being implemented in digital pathology to s...

Molecular characterisation of progressive pulmonary sarcoidosis: protocol for a longitudinal multi-centre study to develop peripheral blood circulating biomarkers for predicting pulmonary sarcoidosis progression.

INTRODUCTION: Sarcoidosis is a heterogeneous granulomatous disease with highly variable clinical tra...

FRE-GAN : Full-resolution efficient convolutional generative adversarial network for retinal vessel segmentation.

Accurate segmentation of retinal blood vessels is not only related to clinical diagnosis and surgica...

Label-free and non-invasive recovery of circulating tumor cells using an integrated acoustofluidic-SERS chip.

Accurate capture and molecular analysis of circulating tumor cells (CTCs) from whole blood are cruci...

Hybrid ML-driven simulation exploring the fate of environmentally relevant nanoplastics in complex aqueous matrices: Mechanistic insight into colloidal behavior via explainable AI.

Nanoplastics (NPs) are globally recognized as pervasive emerging contaminants with demonstrated toxi...

AI-driven Predictive Models in Endourological Treatment of Urolithiasis: A Systematic Review of Nomogram Applications from EAU Endourology.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in endourology to enhance surgical ...

Evaluation of an AI-Driven Risk Stratification System for Clinical Deterioration in Geriatric Hip Fracture Patients.

OBJECTIVES: To determine whether an artificial-intelligence-driven Clinical Deterioration Index (CDI...

A machine learning predictive model for staging chronic hepatitis B inflammation based on non-invasive metrics.

Early screening and antiviral therapy for significant liver inflammation in chronic hepatitis B (CHB...

Integration of Continuous Glucose Monitoring With HbA1c to Improve the Detection of Prediabetes in Asian Individuals: Model Development Study.

BACKGROUND: Glycated hemoglobin (HbA1c) is a convenient tool to evaluate glycemic status but its abi...

AI in Point-of-Care Imaging for Clinical Decision Support: Systematic Review of Diagnostic Accuracy, Task-Shifting, and Explainability.

BACKGROUND: Artificial intelligence (AI) integrated with point-of-care imaging is a promising approa...

The role of large language models in the diagnosis and management of obstetric patients: a pilot feasibility study using simulated obstetric cases.

OBJECTIVE: This feasibility study aimed to assess the potential of freely available large language m...

Biological effects of ultrasonic cavitation in cancer therapy: from physics to mechanobiology.

The therapeutic efficacy of systemic treatments in cancer therapy is invariably limited by the bioph...

Machine learning models for predicting childhood anemia in Mozambique: analysis from national survey data.

Machine learning-based prediction of impaired arginine vasopressin secretion during hypertonic saline test.

Hypertonic saline infusion and water deprivation tests are commonly used to stimulate arginine vasop...

Atomic clarity: how structural biology is shaping blood-stage malaria vaccines.

Developing an effective malaria vaccine is challenging because Plasmodium parasites use complex stra...

Impact of post-transfusion hemoglobin levels on survival in critically Ill patients: a machine learning-based causal inference analysis.

Hybrid diagnostic framework for bone cancer detection using deep learning and radiomics analysis.

Currently, bone cancer remains a big challenge in healthcare, early and accurate diagnosis is theref...

Identification of Mitochondrial Signature Biomarkers and Molecular Mechanisms in Atherosclerotic Tissues and Blood: Combined Single-Cell and Bulk RNA Sequencing Analysis.

Atherosclerosis (AS) is a leading cause of cardiovascular disease and stroke. Although mitochondria'...

Development and validation of a machine learning model for predicting positive blood cultures using vital signs in ICU patients.

Bloodstream infections require timely and appropriate diagnosis and treatment, as inadequate managem...

Association between platelet-albumin-bilirubin score and 30-day in-hospital mortality in patients with sepsis: evidence from a large database and machine learning modeling.