Hematology

Latest AI and machine learning research in hematology for healthcare professionals.

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A metabolite-augmented FIB-4 machine learning panel achieves superior liver fibrosis staging in chronic liver disease.

Accurate, non-invasive liver fibrosis detection is essential for chronic liver disease management, particularly with rising metabolic dysfunction-associated liver disease (MASLD) and chronic hepatitis B (CHB). While the Fibrosis-4 (FIB-4) index is widely used, its performance for advanced fibrosis is limited. We develop Met-FIB using metabolomics and machine learning, integrating FIB-4 parameters ...

Mar 31 2026 41923623

Short-chain fatty acid-producing microbes differentiate non-infectious and infectious neutropenic fever in leukemia.

UNLABELLED: Neutropenic fever (NF) is often the first sign of infection in patients with hematologic malignancies, but its cause is frequently unknown, leading to broad-spectrum antibiotic use without confirmed infections. Although research links gut microbiome disruptions to treatment-related infections, it typically examines NF as the outcome, leaving a gap in understanding how the microbiome an...

Mar 31 2026 41914747
Exploring Components and Feasibility of Health Coaching Interventions for Self-Management of Type 2 Diabetes: Protocol for a Systematic Review.

BACKGROUND: Type 2 diabetes (T2D) currently has no cure. However, extensive evidence suggests that addressing key risk factors through lifestyle chang...

Mar 31 2026 41915894
Quantitative and qualitative motion analysis for early detection of joint damage in haemophilia patients: study protocol for a pilot feasibility study at a German haemophilia treatment centre.

INTRODUCTION: Joint bleeds are the most significant complication in haemophilia, leading to functional impairment and reduced quality of life. Repeate...

Mar 31 2026 41916638
[Pulmonary embolism response team (PERT): development, implementation, and clinical impact].

Pulmonary embolism (PE) is a common and potentially fatal venous thromboembolic disease. Traditional management paradigms, often characterized by insu...

Mar 31 2026 41912399
Conventional and novel platelet parameters: Clinical and laboratory approaches.

INTRODUCTION: Platelet count and related indices obtained from the complete blood count (CBC) play an important role in the diagnosis, monitoring, and...

Mar 30 2026 41921724
Inflammatory-nutritional biomarker scores and risk of malignant effusion in a pan-cancer cohort of 68,916 patients: Nonlinear associations and machine learning validation.

PURPOSE: Inflammatory-nutritional biomarker scores derived from routine blood tests have established prognostic value in cancer, yet their association...

Mar 30 2026 41921726
BD-KDD: A real-world clinical dataset for kidney disease diagnosis and healthy classification.

Kidney disease is a major global health concern that requires timely diagnosis and effective monitoring to prevent severe complications and improve pa...

Mar 30 2026 42011241
Revisiting the NETs-CYBB-p38 MAPK axis in bronchiectasis: The underlying oxidative injury mechanism.

BACKGROUND: Bronchiectasis is a chronic neutrophilic respiratory disease frequently complicated by Pseudomonas aeruginosa (P. aeruginosa) infection. N...

Mar 30 2026 41916025
Early Versus Delayed Anticoagulation in Acute Ischaemic Stroke with Atrial Fibrillation According to Infarct Volume and Location: a Prespecified Subgroup Analysis of the OPTIMAS Randomised Controlled Trial.

BackgroundRandomised trials have demonstrated that early anticoagulation after acute atrial fibrillation-associated ischaemic stroke is safe and non-i...

Mar 30 2026 41906919
Adaptive AI for Cardiovascular Event Adjudication: Cardiovascular Event Adjudication Across Different Definitions in the ODYSSEY OUTCOMES and EUCLID Trials.

BACKGROUND: Clinical endpoint classification (CEC) is the gold standard for cardiovascular endpoint measurement in clinical trials, but adds time and ...

Mar 30 2026 41911340
Development of Machine Learning Models for Predicting Prostate Cancer in Biopsy Candidates Using Prostate-Specific Antigen, Magnetic Resonance Imaging, and Hematologic Parameters.

INTRODUCTION: Prostate-specific antigen (PSA) alone is insufficient for the diagnosis of prostate cancer (PCa), particularly within the gray zone rang...

Mar 30 2026 41911495
Integration of protein and metabolomic blood biomarkers enhances classification of radiation exposure in X-irradiated humanized mice.

PURPOSE: The general population is at risk of exposure to ionizing radiation due to nuclear warfare, terrorism, or radiological accidents. Such exposu...

Mar 30 2026 41911503
Blood plasma proteomic biomarkers for forecasting transition to psychosis in an Asian cohort.

Plasma proteomic biomarkers hold significant promise for enhancing clinical assessments and improving early detection of psychosis conversion; however...

Mar 30 2026 41912485
Interpretable Machine Learning for Feature-Based Classification of Platelet Activation in Rotary Blood Pumps.

BACKGROUND: Thrombosis in rotary blood pumps arises from complex flow conditions that remain difficult to translate into reliable and interpretable ri...

Mar 30 2026 41912982
WGCNA and machine learning identify mitochondria programmed cell death-related genes as diagnostic biomarkers for septic shock.

Septic shock (SS), the most severe stage of sepsis, has a high mortality rate. Mitochondria-mediated programmed cell death (MPCD) plays a key role in ...

Mar 28 2026 41902830
Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms.

Intracranial aneurysms are pathological dilations of cerebral arteries affecting 3-5% of the population. Their rupture can cause subarachnoid hemorrha...

Mar 28 2026 41905249
PTBD: a machine learning-based non-invasive diagnostic model for pulmonary tuberculosis using large-scale blood transcriptomes.

BACKGROUND: Accurate and rapid diagnosis is essential for controlling pulmonary tuberculosis (PTB) by enabling timely intervention and reducing diseas...

Mar 27 2026 41888771
Natural Language Processing Methods Automate Molecular Marker Extraction From Glioma Pathology Reports.

BACKGROUND AND OBJECTIVES: Molecular markers such as isocitrate dehydrogenase (IDH) and alpha-thalassemia/mental retardation syndrome X-linked (ATRX) ...

Mar 27 2026 41891708
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], lymphocyte-to-HDL cholesterol ratio, neutrophil-t...

Mar 27 2026 41894259
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