Hematology

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

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Machine learning-based prediction of bleeding risk in extracorporeal membrane oxygenation patients using transfusion as a surrogate marker.

BACKGROUND: The increasing use of extracorporeal membrane oxygenation (ECMO) has highlighted challen...

Explainable machine learning framework for biomarker discovery by combining biological age and frailty prediction.

Biological age (BA) and frailty represent two distinct health measures that offer valuable insights ...

Investigating handheld near-infrared spectroscopy for forensic body fluid analysis.

Forensic casework and crime scene examination will often involve the identification and analysis of ...

Investigating CAR-T Treatment Access for Multiple Myeloma Patients Using Real-World Evidence.

OBJECTIVE: Multiple myeloma (MM) is the second most common hematologic malignancy in the U.S., with ...

Integrated transcriptomics of multiple sclerosis peripheral blood mononuclear cells explored potential biomarkers for the disease.

BACKGROUND: Despite their importance, blood RNAs have not been comprehensively studied as potential ...

A comprehensive case study of deep learning on the detection of alpha thalassemia and beta thalassemia using public and private datasets.

This study explores the performance of deep learning models, specifically Convolutional Neural Netwo...

Machine Learning-Based Prediction of Unplanned Readmission Due to Major Adverse Cardiac Events Among Hospitalized Patients with Blood Cancers.

BackgroundHospitalized patients with blood cancer face an elevated risk for cardiovascular diseases ...

Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.

Diabetes is a growing global health concern, affecting millions and leading to severe complications ...

Cuffless Blood Pressure Measurement: Where Do We Actually Stand?

Cuffless blood pressure (BP) measurement offers considerable potential for clinical practice but is ...

Transfer Learning Enhanced Blood Pressure Monitoring Based on Flexible Optical Pulse Sensing Patch.

Blood pressure (BP), a crucial health biomarker, is essential for detecting early indications of car...

A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease.

Glycogen storage disease (GSD) is a group of rare inherited metabolic disorders characterized by abn...

Identification of aging-related biomarkers for intervertebral disc degeneration in whole blood samples based on bioinformatics and machine learning.

INTRODUCTION: Aging is characterized by gradual structural and functional changes in the body over t...

AI-Assisted Blood Gas Interpretation: A Comparative Study With an Emergency Physician.

BACKGROUND: Blood gas interpretation is critical in emergency settings. Large language models like C...

c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's disease.

Alzheimer's disease (AD) is a neurodegenerative disorder that requires early diagnosis for effective...

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