Hematology

Prognostic value of stress hyperglycemia ratio, hemoglobin glycation index, and glycemic variability for postoperative atrial fibrillation: a machine learning-based prediction model.

Machine learning prediction of CKD progression in hyperglycemic elderly adults: a prospective community cohort study.

Hyperglycemia is a major risk factor for chronic kidney disease (CKD). This multicenter prospective ...

Non-invasive time inference of repetitive contusion injuries using hyperspectral imaging and machine learning.

BACKGROUND: Objective wound age estimation remains challenging in forensic practice, particularly fo...

A Deep Neural Network for Interpreting Wearable Electrocardiogram Data in Atrial Fibrillation: Prospective Observational Diagnostic Accuracy Study.

BACKGROUND: Atrial fibrillation (AF) and atrial flutter (AFL) are common arrhythmias associated with...

Current evidence and future directions for prophylactic anticoagulation therapy after severe spontaneous intracerebral hemorrhage: a narrative review.

Patients with spontaneous intracerebral hemorrhage (sICH) are at high risk for venous thromboembolis...

In silico metabolite prediction and LC-HRMS confirmation for forensic analysis of a fatal case involving novel synthetic opioid N, N-dimethyl etonitazene.

Nitazenes are a class of new psychoactive substances (NPS) belonging to the synthetic opioids. It ha...

A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and ...

Delineating Pediatric Adrenocortical Tumors by GC-MS Urinary Steroid Metabolome Analysis: Observations From the MET Study.

INTRODUCTION: Adrenocortical tumors (ACTs) comprise adrenocortical adenomas (ACAs) and adrenocortica...

Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in chronic spontaneous urticaria and autophagy based on machine learning.

BACKGROUND: The exact molecular mechanisms governing a heightened risk of chronic spontaneous urtica...

APSevLM: Acute Pancreatitis Severity Language Model.

Approximately one-fifth of patients with acute pancreatitis (AP) develop severe forms, which are ass...

Diagnosis of Leukemia from Bone Marrow Flow Cytometry Data Using Deep Learning and Explainable Artificial Intelligence.

Leukemia is a life-threatening blood cancer requiring rapid and accurate diagnosis to improve patien...

Clinical utility of BOLD-MRI in accurate diagnosis and prognostic evaluation of diabetic nephropathy: a prospective renal biopsy-based cohort study.

OBJECTIVES: To validate blood oxygen level-dependent MRI (BOLD-MRI) for non-invasive discrimination ...

Visit-to-visit systolic blood pressure variability and risk of severe hypertensive episodes in a multicenter cohort.

BACKGROUND: Visit-to-visit blood pressure variability has been associated with cardiovascular outcom...

Unveiling novel biomarkers for diabetes-related complications through large-scale proteomics analysis: A FIELD sub-study.

BACKGROUND: Vascular complications of Type 2 diabetes (T2D) significantly contribute to its morbidit...

Single-cell sequencing and machine learning-based prediction of spliceosome-associated factor 2 may represent potential targets for osteoarthritis.

BACKGROUND: Osteoarthritis has become a global health challenge due to its complex pathologic mechan...

Neural network reveals platelet age from fluorescence microscopy images.

Platelets are small, anucleate cells with a primary physiological role in vascular damage repair (he...

Integrated circuit-microfluidic biosensors for blood-based disease diagnostics-A review.

BACKGROUND: Integrated circuit (IC)-integrated microfluidic biosensors have revolutionized blood-bas...

Decoding perioperative anesthesia-associated signature in Kawasaki disease patients with deep vein thrombosis; evidence from machine-learning driven multi-omics.

UNLABELLED: Inappropriate perioperative anesthesia (PA) drug management may lead to the detrimental ...

Incorporating artificial intelligence into morphological diagnosis of acute leukemias: Current landscape, challenges and prospects (Review).

Acute leukemias (ALs) are a diverse group of hematological malignancies characterized by the abnorma...

Indispensable tools of critical care management: blood gas analyzers.

Blood gas analysis remains one of the most indispensable diagnostic tools in critical care, yet incr...

Artificial Intelligence in Trauma Care: A Systematic Review of Resuscitation, Diagnosis, Risk Prediction, and Management.

BACKGROUND: Artificial intelligence (AI) is increasingly being explored in trauma care as a tool to ...