Hematology

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

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Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score.

An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emer...

Deep learning for bone marrow cell detection and classification on whole-slide images.

Bone marrow (BM) examination is an essential step in both diagnosing and managing numerous hematolog...

LSPR based on-chip detection of dengue NS1 antigen in whole blood.

The development of a biosensor for rapid and quantitative detection of the dengue virus continues to...

Characteristics of brain connectivity during verbal fluency test: Convolutional neural network for functional near-infrared spectroscopy analysis.

Human connectome describes the complicated connection matrix of nervous system among human brain. It...

Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison.

Leukemia is usually diagnosed by viewing the smears of blood and bone marrow using microscopes and c...

Blood-Based Immune Profiling Combined with Machine Learning Discriminates Psoriatic Arthritis from Psoriasis Patients.

Psoriasis (Pso) is a chronic inflammatory skin disease, and up to 30% of Pso patients develop psoria...

Quantum Artificial Neural Network Approach to Derive a Highly Predictive 3D-QSAR Model for Blood-Brain Barrier Passage.

A successful passage of the blood-brain barrier (BBB) is an essential prerequisite for the drug mole...

Development of monoclonal antibodies for quantification of bovine tumor necrosis factor-α.

The expression of the proinflammatory cytokine tumor necrosis factor-α (TNF-α) is associated with pr...

Stem-cell based, machine learning approach for optimizing natural killer cell-based personalized immunotherapy for high-grade ovarian cancer.

Advanced high-grade serous ovarian cancer continues to be a therapeutic challenge for those affected...

Artificial intelligence models in chronic lymphocytic leukemia - recommendations toward state-of-the-art.

Artificial intelligence (AI), machine learning and predictive modeling are becoming enabling technol...

Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization.

Coronavirus 2019 (COVID-19) is an extreme acute respiratory syndrome. Early diagnosis and accurate a...

New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images.

This article addresses a new method for the classification of white blood cells (WBCs) using image p...

Optimal Training Configurations of a CNN-LSTM-Based Tracker for a Fall Frame Detection System.

In recent years, there has been an immense amount of research into fall event detection. Generally, ...

Artificial Intelligence and Capsule Endoscopy: Automatic Detection of Small Bowel Blood Content Using a Convolutional Neural Network.

INTRODUCTION: Capsule endoscopy has revolutionized the management of patients with obscure gastroint...

Using different machine learning models to classify patients into mild and severe cases of COVID-19 based on multivariate blood testing.

COVID-19 is a serious respiratory disease. The ever-increasing number of cases is causing heavier lo...

Prediction of blood supply in vestibular schwannomas using radiomics machine learning classifiers.

This study attempts to explore the radiomics-based features of multi-parametric magnetic resonance i...

Risk prediction of clinical adverse outcomes with machine learning in a cohort of critically ill patients with atrial fibrillation.

Critically ill patients affected by atrial fibrillation are at high risk of adverse events: however,...

Role of Serum and Urinary Hepcidin in Young Females of Reproductive Age in North India.

 Iron deficiency is one of the most common nutritional disorders in the world affecting young femal...

Short-term and pathologic outcomes of robotic versus open pancreatoduodenectomy for periampullary and pancreatic head malignancy: an early experience.

Open pancreatoduodenectomy (OPD) is associated with high perioperative morbidity. Adoption of robot-...

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