Latest AI and machine learning research in hematology for healthcare professionals.
Kidney-function assessment relies on blood urea as a clinically informative metabolic marker; howeve...
Attention-based Multiple Instance Learning aggregators in medical imaging are prone to attention con...
Patients diagnosed with type 2 diabetes (T2D) are at increased risk of developing cardiovascular dis...
Aim: The global population of older adults is growing, and older age is linked to higher bleeding ri...
Background The European Association for the Study of the Liver (ESAL) - Steatotic Liver Disease (SLD...
Flow cytometry analysis is widespread practice in cell biology, immunology and hematology. Cell popu...
Background: In atrial fibrillation (AF), cerebral microbleed (CMB) burden guides anticoagulation dec...
Non-valvular atrial fibrillation (AF) is associated with a five-fold increased risk of stroke, mainl...
The vascular network in the human body is characterized by blood vessels exhibiting drastic structur...
Objective To develop clinically operational, population-representative risk-score models for detecti...
Background: Non-invasive diagnosis, reliable recurrence surveillance remain critical unmet needs in ...
Importance Prognostic tools beyond staging are needed to guide treatment and counseling in head and ...
Objectives: Diabetes affects over 500 million people globally and glycemia is inadequately managed. ...
Background Peripheral blood smears (PBS) review is labor-intensive, subjective, and challenging for ...
Tumour-educated platelets (TEPs) carry cancer-type-specific RNA signatures accessible through whole-...
Blood vessel segmentation is a core task in medical image analysis for the care of vascular diseases...
Customized image editing aims to equip pre-trained diffusion models with specific visual effects usi...
Deep learning has gained popularity in drug combination synergy prediction; however, DL models requi...
Background: Anemia is an established marker of cardiovascular disease severity and risk which leads ...
Uncertainty quantification (UQ) is critical for safety-critical domains like healthcare, yet it is r...
Blood-based biomarkers underpin clinical diagnosis and management, yet their interpretation relies l...