Latest AI and machine learning research in hematology for healthcare professionals.
Major depressive disorder (MDD) is a severe psychiatric disorder that currently lacks any objective ...
Objective: Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by unp...
() is a widely disseminated betaherpesvirus that typically induces latant infections. In immunocom...
We developed a new method to enhance the resolution of blood platelet aggregates imaged via quantita...
Liquid biopsies (eg., blood draws) offer a less invasive and non-localized alternative to tissue b...
Precise and timely forecasting of blood glucose levels is essential for effective diabetes managem...
Clonal hematopoiesis (CH) is a phenomenon of clonal expansion of hematopoietic stem cells driven by ...
OBJECTIVES: Iron-deficiency anemia (IDA) is a common health problem worldwide, and up to 10% of adul...
The morphological examination of blood cells under manual microscopes is a classic method, but the o...
Computer-based analysis of Wireless Capsule Endoscopy (WCE) is crucial. However, a medically annot...
White blood cell classification plays a key role in the diagnosis of hematologic diseases. Models ca...
Enabling patients to actively document their health information significantly improves understanding...
This study leverages data from a Canadian database of primary care Electronic Medical Records to dev...
Venous thromboembolism (VTE) is a critical cardiovascular condition, encompassing deep vein thromb...
Biomedical imaging and RNA sequencing with single-cell resolution improves our understanding of wh...
Atrial fibrillation (AF) prediction and screening are of important clinical interest because of the ...
CONTEXT.—: Conventional karyotype analysis, which provides comprehensive cytogenetic information, pl...
BACKGROUND: Hemoglobinopathies, the most common inherited blood disorder, are frequently underdiagno...
The treatment of primary central nervous system tumors is challenging due to the blood-brain barrier...
Cerebral aneurysm rupture, leading to subarachnoid hemorrhage with a high mortality rate, dispropo...
Traditional model-based control methods require predictive models to design control policies. These ...