Hematology

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

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Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data.

BACKGROUND: Hemoglobinopathies, the most common inherited blood disorder, are frequently underdiagno...

Exploiting Metabolic Defects in Glioma with Nanoparticle-Encapsulated NAMPT Inhibitors.

The treatment of primary central nervous system tumors is challenging due to the blood-brain barrier...

An Integral R-Banded Karyotype Analysis System of Bone Marrow Metaphases Based on Deep Learning.

CONTEXT.—: Conventional karyotype analysis, which provides comprehensive cytogenetic information, pl...

Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network.

Plasma protein biomarkers have been considered promising tools for diagnosing dementia subtypes due ...

Machine Learning Approaches for Blood Pressure Classification from Photoplethysmogram: A Comparative Analysis.

The cuffless estimation of blood pressure (BP) has become a prominent area of research in recent yea...

Machine Learning Algorithm to Estimate Cardiac Output Based On Less-Invasive Arterial Blood Pressure Measurements.

Cardiac output (CO) is a vital hemodynamic parameter that reflects the blood volume pumped by the he...

The Diagnosis of Cardiovascular Disease Using Simple Blood Biomarkers Through AI and Big Data.

Cardiovascular disease (CVD) is the leading cause of global mortality, diagnosed primarily through c...

Advancing Cuffless Arterial Blood Pressure Waveform Estimation: Time-Series Deep Neural Network Approach.

Existing deep learning models for arterial blood pressure (ABP) estimation are becoming increasingly...

Learning Enabled Control for Optimal EPO Dosage in Virtual CKD Patients: Case of Bleeding and Missing Dosage.

Traditional model-based control methods require predictive models to design control policies. These ...

Machine learning to optimize automated RH genotyping using whole-exome sequencing data.

Rh phenotype matching reduces but does not eliminate alloimmunization in patients with sickle cell d...

The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood.

UNLABELLED: T cells recognize tumor antigens and initiate an anticancer immune response in the very ...

Characterization of unique pattern of immune cell profile in patients with nasopharyngeal carcinoma through flow cytometry and machine learning.

In patients with nasopharyngeal carcinoma (NPC), the alteration of immune responses in peripheral bl...

MOSAIC: An Artificial Intelligence-Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers.

PURPOSE: Rare cancers constitute over 20% of human neoplasms, often affecting patients with unmet me...

Neural-Net Artificial Pancreas: A Randomized Crossover Trial of a First-in-Class Automated Insulin Delivery Algorithm.

Automated insulin delivery (AID) is now integral to the clinical practice of type 1 diabetes (T1D)....

AI Approach for Enhanced Thalassemia Diagnosis Using Blood Smear Images.

This paper aims to propose an approach leveraging Artificial Intelligence (AI) to diagnose thalassem...

Artificial intelligence in detection of small bowel lesions and their bleeding risk: A new step forward.

The present letter to the editor is related to the study with the title "Automatic detection of smal...

Inflammation indexes and machine-learning algorithm in predicting urethroplasty success.

PURPOSE: To assess the predictive capability of hematological inflammatory markers for urethral stri...

AI-assisted capsule endoscopy reading in suspected small bowel bleeding: a multicentre prospective study.

BACKGROUND: Capsule endoscopy reading is time consuming, and readers are required to maintain attent...

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