Hematology

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

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3D printed scaffolds regulated by neural-bone metabolic coupling promote bone unit regeneration.

The bone unit (BU) is a multicellular functional unit composed of neuromodulatory networks, bone tis...

Nov 2025 41323200
Engineering strategies for microbial synthesis, customized modification, and application of hemoglobin.

Hemoglobin is a functional protein with heme as a cofactor, playing a crucial role in transporting o...

Nov 2025 41242508
AI-based portable liquid phase leukocyte detection system.

BACKGROUND: White blood cells (WBCs) are vital components of the immune system, and accurate detecti...

Nov 2025 41240678
Prediction of Short-Term Postoperative Complications Following Open Reduction Internal Fixation of Ankle Fractures.

BACKGROUND: Minimizing postoperative complications is imperative to improving patient outcomes. The ...

Oct 2025 41202199
Leveraging quantum chemical properties in transfer learning for predicting blood-brain barrier permeability of drugs.

The blood-brain barrier (BBB), crucial for central nervous system (CNS) homeostasis, poses challenge...

Oct 2025 41160380
Development and validation of a machine learning model for accurate detection of wrong blood in tube errors in hospitalized patients.

OBJECTIVES: To develop and validate a machine-learning model based on routinely available biochemica...

Oct 2025 41147432
Artificial intelligence for arterial blood gas interpretation.

Arterial blood gas (ABG) analysis is a fundamental diagnostic tool in clinical medicine, offering cr...

Oct 2025 41173166
Xception Convolutional Deep Maxout Network for Enhanced Breast Cancer Classification Using Histopathological Images.

Globally, breast cancer represents the leading cancer type, with millions of women impacted annually...

Oct 2025 41147717
Machine learning-based prediction of postpartum hemorrhage using maternal clinical and biochemical features.

OBJECTIVE: This study evaluates the predictive performance of various machine learning (ML) algorith...

Oct 2025 41144864
Estimating the Causal Effect of Realistic Treatment Strategies Using Longitudinal Observational Data.

BackgroundReal-world data can inform health care decisions by allowing the evaluation of nuanced tre...

Oct 2025 41143386
Use of indirect methods and machine learning algorithms for the estimation of reference intervals, taking cortisol measurements as an example.

OBJECTIVES: This study aims to determine reliable reference intervals (RIs) for total cortisol (TC) ...

Oct 2025 41118607
From growing pains to growing evidence: a 2025 update on novel insights in lower limb osteochondroses.

PURPOSE OF REVIEW: Osteochondrosis encompasses a heterogenous group of pathologies affecting endocho...

Oct 2025 41133728
Blood-based Vienna 3P/5P risk models accurately predict first hepatic decompensation in compensated advanced chronic liver disease.

BACKGROUND & AIMS: Invasive measurement of hepatic venous pressure gradient (HVPG) is the gold stand...

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Oct 2025 41551411
Machine Learning-Based Prediction of β-Thalassemia Trait Using Red Blood Cell Indices.

OBJECTIVES: Anemia is a significant global health concern, with hypochromic microcytic anemia being ...

(1)
Oct 2025 41097996
ReVGG-R2Net: Optimized recurrent framework for microscopic blood cell segmentation.

Accurate segmentation of microscopic blood cell images is critical for advancing biomedical analysis...

Oct 2025 41110274
Explainable machine learning models for early prediction of acute kidney injury after cardiac surgery.

BACKGROUND: This study aimed to develop a data-driven prediction model for cardiac surgery-associate...

Oct 2025 41083646
Early clinical implementation and evaluation of an NLP-Based AI system for thrombophilia assessment using electronic health records.

BACKGROUND: Thrombophilia evaluation requires integration of biochemical findings with clinical hist...

Oct 2025 41086641
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