Latest AI and machine learning research in hematology for healthcare professionals.
Anemia's high global prevalence and socio-economic burden necessitate early diagnosis, yet reliance ...
Thrombocytopenia is a common hematological disorder with diverse etiologies. This study aimed to ide...
Hypertension (HTN) is a leading global cause of cardiovascular disease (CVD) and all-cause mortality...
Gene delivery for neurodegenerative cerebral disorders faces formidable structural and practical cha...
INTRODUCTION: Morphologic evaluation of peripheral blood (PB) smears and bone marrow aspirates (BMA)...
Vitamin B12 is essential for neural function, red blood cell formation, and DNA synthesis, yet its d...
For thoracoscopic resection to be successful, accurate preoperative and intraoperative localization ...
OBJECTIVES: We developed and internally validated an interpretable machine learning model to stratif...
Deep vein thrombosis (DVT) remains difficult to distinguish because of its often silent presentation...
Rebleeding is a severe complication following recovery from esophageal variceal bleeding (EVB), yet ...
BACKGROUND: Population-scale radiation exposure assessment during radiological emergencies is hinder...
Chimeric antigen receptor T (CAR-T) cell therapy has demonstrated remarkable success in hematologic ...
PURPOSE OF REVIEW: Arterial thrombosis remains a leading cause of morbidity and mortality worldwide,...
Hematologic malignancies remain among the most challenging cancers to treat due to genetic heterogen...
Traumatic brain injury (TBI) is a leading cause of persistent cognitive, motor, and neuropsychiatric...
IMPORTANCE: Glossectomy and reconstruction for tongue tumors carries substantial risk of postoperati...
BACKGROUND: Digital twin (DT) systems have emerged as a promising approach in health care, enabling ...
Allogeneic hematopoietic stem cell transplantation remains critical for treating high-risk hematolog...
Malaria is a potentially fatal illness caused by a parasite of the genus Plasmodium that humans get ...
Tumor-educated platelets (TEPs) have recently emerged as an important component of liquid biopsy, ye...
AIM: Machine learning (ML) applications in pharmacovigilance remain limited and underexplored. Using...