Latest AI and machine learning research in hematology for healthcare professionals.
Aplastic anemia is a rare, life-threatening hematologic disorder characterized by pancytopenia and...
Controllable video generation (CVG) has advanced rapidly, yet current systems falter when more tha...
Placenta Accreta Spectrum Disorders (PAS) pose significant risks during pregnancy, frequently lead...
Breast cancer (BC), one of the most prevalent malignant tumors worldwide, lacks efficacious diagnost...
Dynamic FDG PET imaging study of n = 52 rats including 26 control Wistar-Kyoto (WKY) rats and 26 e...
BACKGROUND: Invasive coronary angiography (ICA) is the gold standard in the diagnosis of coronary ar...
Ferroptosis is a recently described type of regulated necrotic cell death whose induction has anti-c...
Leukemia is a common type of blood cancer marked by the abnormal and uncontrolled proliferation and ...
Brain-Computer Interfaces enable direct communication between the brain and external systems, with...
Accurate prediction of blood transfusion requirements is crucial for patient outcomes and resource m...
It is evident that a robust immune system keeps Candida albicans infection in check, but weakened im...
Formulas based on red blood cell indices have been used to differentiate between iron deficiency ane...
Cysteamine (CA) serves as a cystine-depleting agent employed in the management of cystinosis and a r...
The Japanese Kampo medicine Boi-ogi-to (BOT) is known as an effective therapeutic agent for edema an...
Non-linear laser spectroscopy methods such as two-dimensional infrared (2D-IR) produce large, inform...
PURPOSE: Colorectal cancer (CRC) is the second leading cause of cancer-related deaths worldwide, and...
Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen....
OBJECTIVE: Ultrasonography and D-dimer testing are established modalities for evaluating potential l...
Cardiomyopathy is a key cause of cardiovascular mortality in critically ill patients. Although red ...
We aimed to develop machine learning(ML) algorithms to evaluate complications of flexible ureterosco...
Recently, the application of deep learning in image colorization has received widespread attention...