Hematology

AI-augmented MALDI-TOF MS screening reveals a high burden of undiagnosed monoclonal gammopathy in adult patients.

Monoclonal gammopathy of undetermined significance is a common precursor of multiple myeloma, yet it...

Machine learning-based identification of cardiovascular risk modifiers in patients with very high LDL cholesterol: A cross-sectional study.

Individuals with LDL cholesterol (LDL-C) ≥ 190 mg/dL face a markedly increased risk of major adverse...

Intracardiac Echocardiography-Guided Left Atrial Appendage Occlusion: A Comprehensive Narrative Review.

Intracardiac echocardiography (ICE) is an alternative to transesophageal echocardiography for imagin...

Longitudinal Changes in Acid-Base Parameters From Dialysis Initiation to Death in Maintenance Hemodialysis Patients.

INTRODUCTION: Blood gas analysis is routinely performed in hemodialysis patients to monitor acid-bas...

An Accelerated Training Framework for Physics-Informed Neural Networks: Applications in Ultrafast Ultrasound Blood Flow Imaging.

Ultrafast ultrasound blood flow imaging is a state-of-the-art technique for depiction of complex blo...

Noninvasive diabetes mellitus classification based on HbA1c using the mel-frequency cepstral coefficients from the photoplethysmographic signal.

Diabetes mellitus (DM) is a metabolic condition with improper regulation of blood sugar levels a...

Research and application of machine learning models based on multimodal big data for precise transfusion management in acute myeloid leukaemia.

Acute myeloid leukaemia (AML) is a highly heterogeneous haematologic malignancy in which transfusion...

Beyond Thresholds: Can Machine Learning Improve Trauma Field Triage?

BackgroundAccurate triage of trauma patients by Emergency Medical Services (EMS) is essential for op...

Integration of hierarchical clustering in hematologic biomarkers prediction for endocrine toxicity during immunotherapy in lung cancer patients.

Immune check-point inhibitors (ICIs) have outstandingly changed the treatment for lung cancer patien...

Classifying Diabetic and Healthy β-Cells in Type 2 Diabetes Using Machine Learning on Single-Cell RNA Sequencing Data.

Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impai...

Peripheral blood DNA methylation partially reports on immune cell type composition in the frontal brain.

Most existing DNA methylation (DNAm) studies have used peripheral surrogate tissues to research mole...

Predictor Of Mortality In Obstructive Sleep Apnoea: Results of Explainable Deep Learning based Survival Analysis From a 15-Year Follow-Up.

INTRODUCTION: Obstructive sleep apnoea (OSA) is a respiratory disorder with comorbidities of several...

Identifying treatment-responsive patient subgroups in a neutral clinical trial of Intensive blood pressure reduction in acute intracerebral hemorrhage: A post hoc explainable machine learning analysis.

The Antihypertensive Treatment of Acute Cerebral Hemorrhage (ATACH-2) trial reported no overall bene...

Transforming blood-derived episignatures into cell-type-agnostic classifiers: A shortcut to prenatal episignatures.

DNA methylation (DNAm) episignatures are stable disorder-specific epigenetic patterns that serve as ...

ANGPTL4 in gestational diabetes: a diagnostic biomarker linked to placental senescence.

Current diagnostic methods for Gestational Diabetes Mellitus (GDM) inadequately reflect early placen...

Can artificial intelligence lead the next frontier of hemophilia management and care?

Predicting gingival embrasure risk after invisible orthodontics using multimodal data and machine learning.

OBJECTIVE: To develop and validate a risk prediction model for gingival embrasures after clear align...

clinTALL: machine learning-driven multimodal subtype classification and treatment outcome prediction in pediatric T-ALL.

BACKGROUND: Childhood T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic ma...

Prognostic value of nutritional and inflammatory biomarkers in patients with non-small cell lung cancer and bone metastasis: A retrospective study.

To evaluate the prognostic significance of nutritional-inflammatory biomarkers in non-small cell lun...

Hybrid circular-square complementary split-ring resonator sensor for monitoring abnormal blood protein levels for disease diagnosis.

The proposed work aims to develop a compact, low-cost, and commercially viable microwave sensor for ...

Interpretable Machine Learning Model for Predicting Sepsis and Septic Shock Among Patients with Documented Fever at Emergency Department Triage Using Patients' Historical Data.

This study aimed to develop an interpretable machine learning-based scoring system for predicting se...