Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Cancer arises from oncogenic clones, yet the dynamic mechanisms driving their stepwise evolution tow...
Hepatocellular carcinoma (HCC) is a major global health burden, ranking as the sixth most common can...
BACKGROUND: Overscanning is a common issue in CT planning, leading to unnecessary radiation exposure...
BACKGROUND: Reactive oxygen species (ROS) are critical regulators of tumor development and progressi...
BACKGROUND: Current clinical guidelines mandate routine evaluation of anaplastic lymphoma kinase (AL...
BACKGROUND: Liver hepatocellular carcinoma (LIHC) is a common malignancy, yet the core genes driving...
Lung nodule detectionis necessary for lung cancer treatment, which is crucial for treating the patie...
Accurate and early diagnosis of cancer is critical for determining effective treatment strategies an...
Identifying cancer driver genes is crucial in precision oncology. Most existing methods rely on a si...
Gastric cancer, prevalent in East Asia, often presents with peritoneal metastasis at diagnosis, limi...
BACKGROUND: Melanoma outcomes differ across countries, income settings, and skin tones, reflecting n...
Autonomous microrobots can reach hard-to-access regions in the human body for minimally invasive the...
BACKGROUND: Cluster headache is associated with compensated hypogonadism in males, suggesting impair...
BACKGROUND: Kikuchi disease, lymphoma, lymphadenitis, and tuberculosis are common diseases affecting...
The modernization of Traditional Chinese Medicine (TCM) faces considerable challenges, primarily due...
Advancements in drug delivery systems (DDSs) have revolutionized pharmaceutical development by enhan...
Predicting the clinical efficacy of Natural Killer (NK) cell immunotherapies remains challenging due...
INTRODUCTION AND AIMS: Oral exfoliative DNA aneuploidy cytology by image cytometry (DNA-ICM) has bee...
Bispecific antibodies (BsAbs), designed to recognize two different antigens or two different epitope...
PURPOSE: Detection of radiation-induced temporal lobe injury (RTLI) at the earliest radiologically d...
Objectives: The objective of this study was to develop deep learning models for the automated classi...