Latest AI and machine learning research in hematology for healthcare professionals.
Epilepsy is a severe neurological disorder with complex pathogenesis. Mitochondrial dysfunction (Mit...
BACKGROUND: Despite advanced analytical methods and increasing data availability, most intensive car...
OBJECTIVE: To identify risk factors for postoperative major complications after resection of primary...
BACKGROUND: Based on machine learning prediction models, we explored the anemia treatment attainment...
BACKGROUND: Ex-premature infants have a high risk of postoperative apnea and bradycardia. This study...
Predicting the clinical efficacy of Natural Killer (NK) cell immunotherapies remains challenging due...
Cellular senescence is increasingly recognized as a fundamental driver of cardiovascular ageing; how...
Objectives: The objective of this study was to develop deep learning models for the automated classi...
BACKGROUND: The transfusion of blood components remains a cornerstone in the management of hematolog...
BACKGROUND: Understanding whether commonly available metabolic, demographic, and behavioral factors ...
INTRODUCTION: Typhoid fever remains a major Global public health concern, with treatment outcomes st...
BACKGROUND: Both in clinical practice and translational research, cell differentiation of leukocytes...
Hypertension is a modifiable risk factor for cardiovascular disease (CVD) and its prevalence is high...
BACKGROUND: The management of type 2 diabetes requires sustained self-management across diet, physic...
Single-cell mechanical profiling of deformations has become a promising method of identifying a func...
Dry eye disease (DED) is a multifactorial ocular disorder with high prevalence among global populati...
OBJECTIVE: This exploratory study attempted to identify a peripheral blood-based, ferroptosis-relate...
Red blood cell distribution width (RDW)-derived indicators have increasingly been recognized as biom...
BACKGROUND: This study aimed to develop and internally validate an explainable machine-learning mode...
BACKGROUND: Diabetic retinopathy (DR) is a leading cause of vision loss, yet conventional retinal sc...
BACKGROUND: Machine-learning models based on tissue transcriptomic data are powerful tools for disea...