Latest AI and machine learning research in leukemia for healthcare professionals.
Delirium screening in acute care settings is a resource intensive process with frequent deviations f...
Sickle Cell Anemia (SCA) is a disorder in Red Blood Cells (RBCs) of human blood. Children under five...
Fast and precise measurements of live single-cell biophysical properties is significant in disease d...
BACKGROUND: X-ray images are commonly used to assess the bone destruction of rheumatoid arthritis. T...
In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by de...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have resulted in significant enth...
Artificial intelligence (AI) can unveil novel personalized treatments based on drug screening and wh...
INTRODUCTION: Chemotherapy drug wasting is a huge problem in oncology that not only results in exces...
N6,2'-O-dimethyladenosine (mAm) is a post-transcriptional modification that may be associated with r...
This paper presents an integrated and scalable precision health service for health promotion and chr...
The three horizons model is a framework that helps manage an organization's innovation strategy. Thi...
Adversarial machine learning (AML) is a class of data manipulation techniques that cause alterations...
Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods inc...
Estrogen can promote the acceleration of bone maturation and phthalate esters (PAEs) have estrogen-m...
INTRODUCTION: Chronic myeloid leukemia (CML) is a myeloproliferative disorder resulting from the tra...
Leukemia cancer is the most common type of cancer that occurs in childhood. The most common types ar...
Recent improvements in current technology have had a significant impact on a wide range of image pro...
Hematologic malignancies are model diseases for understanding neoplastic transformation and serve as...
BACKGROUND: Cuproptosis is a recently found non-apoptotic cell death type that holds promise as an e...
Automating the extraction of meaningful temporal information from sequences of microscopy images rep...
Identification of small-molecule binding sites in proteins is of great significance in analysis of p...