Hematology

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

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Artificial intelligence guided imaging as a tool to fill gaps in health care delivery.

Deep vein thrombosis (DVT) causes significant morbidity/mortality and timely diagnosis often via ult...

Domain knowledge-infused pre-trained deep learning models for efficient white blood cell classification.

White blood cell (WBC) classification is a crucial step in assessing a patient's health and validati...

Delving into transfer learning within U-Net for refined retinal vessel segmentation: An extensive hyperparameter analysis.

Blood vessel segmentation poses numerous challenges. Firstly, blood vessels often lack sufficient co...

Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology.

Large language models generate plausible text responses to medical questions, but inaccurate respons...

Prediction of High-Dose Methotrexate Blood Concentration in Osteosarcoma Patients Using Machine Learning.

INTRODUCTION: High-dose methotrexate is a typical chemotherapy that is widely used in the treatment ...

Development of an activity-based ratiometric electrochemical substrate for measuring circulating dipeptidyl peptidase-IV/CD26 in whole blood samples.

Dipeptidyl peptidase-IV (DPP-IV) is a circulating blood biomarker that diagnose pancreatic and thyro...

Machine learning approach to single cell transcriptomic analysis of Sjogren's disease reveals altered activation states of B and T lymphocytes.

Sjogren's Disease (SjD) is an autoimmune disorder characterized by salivary and lacrimal gland dysfu...

Model-Based Convolution Neural Network for 3D Near-Infrared Spectral Tomography.

Near-infrared spectral tomography (NIRST) is a non-invasive imaging technique that provides function...

GRACE: Unveiling Gene Regulatory Networks With Causal Mechanistic Graph Neural Networks in Single-Cell RNA-Sequencing Data.

Reconstructing gene regulatory networks (GRNs) using single-cell RNA sequencing (scRNA-seq) data hol...

Probiotic Effects of and on the Growth, Health, and Microbiota of Red Tilapia ( sp.).

This study evaluated the effects of a commercial probiotic containing and on the growth performanc...

Insulin resistance in type 1 diabetes is a key modulator of platelet hyperreactivity.

AIMS/HYPOTHESIS: Individuals with type 1 diabetes are at increased cardiovascular risk, particularly...

Machine Learning-Driven Identification of Hematological and Immunological Biomarkers for Predicting Proliferative Diabetic Retinopathy Progression.

PURPOSE: Proliferative Diabetic Retinopathy (PDR) is a severe complication of diabetes characterized...

Clinical Validation of a Noninvasive Multi-Omics Method for Multicancer Early Detection in Retrospective and Prospective Cohorts.

Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for ide...

Evaluation of Six Large Language Models for Clinical Decision Support: Application in Transfusion Decision-making for RhD Blood-type Patients.

BACKGROUND: Large language models (LLMs) have the potential for clinical decision support; however, ...

Biological age prediction in schizophrenia using brain MRI, gut microbiome and blood data.

The study of biological age prediction using various biological data has been widely explored. Howev...

Detection of β-Thalassemia trait from a heterogeneous population with red cell indices and parameters.

BACKGROUND: India is home to about 42 million people with β-thalassemia trait (βTT) necessitating sc...

Multiscale deformed attention networks for white blood cell detection.

White blood cell (WBC) detection is pivotal in medical diagnostics, crucial for diagnosing infection...

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