Latest AI and machine learning research in hematology for healthcare professionals.
Leukemia is a type of blood cancer affecting people of all ages and is the leading cause of death wo...
Despite advances in machine learning and computer vision for biomedical imaging, machine reading and...
The detection and classification of blood cells are important in diagnosing and monitoring a variety...
Diabetes Mellitus is a chronic metabolic disorder affecting a substantial global population leading ...
Hypobaric hypoxia-induced hyperuricemia (HUA) is a major health challenge for high-altitude populati...
Elucidating the anti-tumor role of tumor-draining lymph nodes (tdLNs) in patients could offer critic...
Multispecific antibodies have redefined the immunotherapeutic landscape in hematologic malignancies....
PURPOSE: Investigate spleen diameter (d) and volume (v) relationship in patients with hematologic ma...
Obstructive sleep apnea (OSA) may impact outcomes in acute coronary syndrome (ACS) patients. The Glo...
For implant-supported restorations, the contour of their emergence profile is influenced by the impl...
Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by...
RATIONALE AND OBJECTIVES: This study develops a deep-learning method for automatic segmentation of t...
: Early defibrillation improves outcomes in cardiac arrest, but the optimal defibrillation strategy ...
Accurately predicting the refractive index of hemoglobin across various wavelengths and concentratio...
INTRODUCTION: Data-driven omics approaches have rapidly advanced our understanding of the molecular ...
Sepsis is a systemic inflammatory response syndrome that predisposes to severe lung infections (SeAL...
BACKGROUND: Intraoperative blood loss is a critical issue in the care of patients with burns. The ti...
Sensitive detection of circulating tumor cells (CTCs) from peripheral blood can serve as an effectiv...
Coronary artery disease (CAD) remains a major cause of cardiovascular morbidity and mortality, with ...
Despite growing clinical use of contrast-enhanced ultrasound (CEUS), inconsistency remains in the mo...
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebro...