Latest AI and machine learning research in leukemia for healthcare professionals.
Leukemia is a class of hematologic malignancies, of which acute myeloid leukemia (AML) is the most c...
Drug resistance to chemotherapeutic agents remains a formidable challenge in cancer treatment, signi...
Aneurysmal subarachnoid haemorrhage (aSAH) can lead to complications such as acute hydrocephalic con...
This study aimed to identify key proteomic analytes correlated with response to splenectomy in prima...
Acute lymphoblastic leukemia (ALL) is a life-threatening disease that commonly affects children and ...
Cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6is) have revolutionized breast cancer therapy. How...
The influence of chronic kidney disease stage on robot-assisted partial nephrectomy outcomes remains...
The gold standard of leukocyte differentiation is a manual examination of blood smears, which is not...
OBJECTIVE: To assess the role of neoadjuvant chemotherapy (NAC) before robot-assisted radical cystec...
Multiparameter flow cytometry is widely used for acute myeloid leukemia minimal residual disease tes...
Gliomas are primary brain tumors that arise from neural stem cells, or glial precursors. Diagnosis o...
Patients with hematological malignancy experience physical and psychological pain, such as a sense o...
(1) Background: Cancer stem cells (CSCs) are a subpopulation of cells in a tumor that can self-regen...
The goal of this study was to evaluate the performance of a convolutional neural network (CNN) with ...
Digitalization is increasingly finding its way into intensive care units and with it artificial inte...
Comprehensive action patterns of programmed cell death (PCD) in bladder cancer (BLCA) have not yet b...
Leukocytes, also called White Blood Cells (WBCs) or leucocytes, are the cells that play a pivotal ro...
To improve image quality for low-count bone scintigraphy using deep learning and evaluate their clin...
There is a growing trend of artificial intelligence (AI) applications in veterinary medicine, with t...
This study aimed to examine the feasibility of utilizing radiomics models derived from F-FDG PET/CT ...
Circular RNAs (circRNAs) are a crucial yet relatively unexplored class of transcripts known for thei...