Hematology

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

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Machine learning-based prediction of anxiety disorders using blood metabolite and social trait data from the UK Biobank.

Anxiety disorders are the most prevalent type of mental health disorders and are characterised by ex...

Jul 2025 40485662
LUNETR: Language-Infused UNETR for precise pancreatic tumor segmentation in 3D medical image.

The identification of early micro-lesions and adjacent blood vessels in CT scans plays a pivotal rol...

Jul 2025 40117980
Associations of dietary patterns with serum 25(OH) vitamin D and serum anemia related biomarkers among expectant mothers: A machine learning based approach.

BACKGROUND: Machine learning algorithms (MLA) gained prominence in nutritional epidemiology for anal...

Jul 2025 40153889
SurgiSR4K: A High-Resolution Endoscopic Video Dataset for Robotic-Assisted Minimally Invasive Procedures

High-resolution imaging is crucial for enhancing visual clarity and enabling precise computer-assi...

Characterization Of Diseases In Temporal Comorbidity Networks

Comorbidity networks, which capture disease-disease co-occurrence usually based on electronic heal...

Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis.

With the incorporation of effective therapies for myelofibrosis (MF), accurately predicting outcomes...

Jun 2025 40145857
RBC balanced immuno-inflammatory signatures identify advanced breast cancer patients on CDK4/6 inhibitors at increased risk of progression and death.

The association of immuno-inflammatory parameters, especially RBC balanced signatures, with survival...

Jun 2025 40502706
Blood-based proteomic profiling identifies OSMR as a novel biomarker of AML outcomes.

Inflammation is increasingly recognized as a critical factor in acute myeloid leukemia (AML) pathoge...

Jun 2025 40179376
orGAN: A Synthetic Data Augmentation Pipeline for Simultaneous Generation of Surgical Images and Ground Truth Labels

Deep learning in medical imaging faces obstacles: limited data diversity, ethical issues, high acq...

Optimizing Blood Transfusions and Predicting Shortages in Resource-Constrained Areas

Our research addresses the critical challenge of managing blood transfusions and optimizing alloca...

Network Pharmacology Reveals HSPA1A/BST2 as Potential Targets of Ci Bai Capsule's Active Compounds Intervening in Leukopenia

Background: Radiation-induced leukopenia caused by low-dose exposure is frequently associated with...

Artificial intelligence approaches for tumor phenotype stratification from single-cell transcriptomic data.

Single-cell RNA-sequencing (scRNA-seq) coupled with robust computational analysis facilitates the ch...

Jun 2025 40511682
Improving Bovine Brucellosis Diagnostics: Rapid, Accurate Detection via Blood Serum Infrared Spectroscopy and Machine Learning.

Diagnosing bovine brucellosis is a major challenge due to its significant economic impact, causing l...

Jun 2025 40521440
MS-YOLO: A Multi-Scale Model for Accurate and Efficient Blood Cell Detection

Complete blood cell detection holds significant value in clinical diagnostics. Conventional manual...

Aryl Organophosphate Esters and Hemostatic Disruption: Identifying Risk through Machine Learning and Experimental Validation.

Organophosphate esters (OPEs) have emerged as a significant environmental concern due to their wides...

Jun 2025 40391651
Predicting Blood Type: Assessing Model Performance with ROC Analysis

Introduction: Personal identification is a critical aspect of forensic sciences, security, and hea...

Revolutionizing Blood Banks: AI-Driven Fingerprint-Blood Group Correlation for Enhanced Safety

Identification of a person is central in forensic science, security, and healthcare. Methods such ...

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