Latest AI and machine learning research in hematology for healthcare professionals.
OBJECTIVE: Current clinical guidelines for non-ST-segment elevation myocardial infarction (NSTEMI) e...
ETHNOPHARMACOLOGICAL RELEVANCE: The dried root of Paeonia lactiflora Pall. has a long history of med...
Whole-blood gene expression has the potential to become an affordable alternative for the diagnosis ...
MELD-based scores do not fully account for systemic and metabolic risk in liver transplant candidate...
BACKGROUND: Plasma D-dimer levels are independently associated with poor prognosis following aneurys...
The DrugMatrix database contains systematically generated toxicogenomics data from short-term in viv...
Multiple myeloma (MM) is a malignant blood cancer marked by severe bone destruction and immune micro...
BACKGROUND: To develop a machine learning model for early differentiation of primary immune thromboc...
Blood glucose prediction is a critical component of next-generation diabetes technologies, such as a...
BACKGROUND: Prediabetes is highly prevalent and increasing globally, yet lifestyle interventions rem...
Multiparametric flow cytometry (MFC) data analyses still largely rely on expert-dependent subjective...
SIGNIFICANCE: Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease worldwide....
Cardiorenal anemia syndrome (CRAS) links heart failure, chronic kidney disease, and anemia, but the ...
OBJECTIVE: To investigate the independent and combined associations of the triglyceride-glucose (TyG...
This study established an integrated framework combining multi-omics analysis, machine learning (ML)...
The morphological analysis of peripheral blood cells is increasingly adopting deep learning, mainly ...
AimTo gather nurses' perceptions nursing hematologic management on patients undergoing CAR-T cell th...
BACKGROUND: Radiation-induced thrombocytopenia (RIT) is a severe, dose-limiting complication of canc...
OBJECTIVES: Lymphoma is a prevalent hematologic malignancy with complex pathogenesis involving dysre...
Emerging evidence indicates that coagulation-related molecular programs are associated with thrombos...
Solid tumors, the most prevalent form of malignancy, pose therapeutic challenges distinct from hemat...