Latest AI and machine learning research in oncology/hematology for healthcare professionals.
PURPOSE: To develop and validate a multimodal deep learning framework that integrates clinical metad...
BACKGROUND: Breast cancer (BRCA) is a heterogeneous disease. Accurate prognosis and molecular subtyp...
Macroautophagy (autophagy) enables cellular stress adaptation by degrading damaged components; ULK1,...
Cancer drug response (CDR) prediction is challenging due to tumor heterogeneity and limited amount o...
BACKGROUND: In contrast to three decades ago, liver resection (LR) is now an increasingly common pro...
Tumor-educated platelets (TEPs) have recently emerged as an important component of liquid biopsy, ye...
Cancers of unknown primary (CUP) refer to a highly heterogeneous group of metastatic tumors whose pr...
BACKGROUND: Clinical Tumor, Node, and Metastasis (cTNM) classification is vital for predicting treat...
BACKGROUND: Lung cancer ranks among the most lethal malignancies globally, and its traditional diagn...
Conventional two-dimensional (2D) pathology relies on a limited number of tissue sections and theref...
PURPOSE: PPOI is one of the common complications of intraperitoneal hyperthermic chemotherapy during...
BackgroundUltra-radical cytoreductive surgery is frequently performed for patients with advanced ova...
BACKGROUND: Obesity is the largest risk factor for endometrial cancer. Body Mass Index (BMI) does no...
OBJECTIVE: Phase gating is a critical technique to mitigate tumor motion during radiotherapy, partic...
BACKGROUND: Membranous nephropathy (MN) is an autoimmune disease characterized by immune complex dep...
Therapy-induced senescence (TIS) in cancer cells can be triggered by radiotherapy, chemotherapy, and...
OBJECTIVES: Computed tomography (CT) scans for lung cancer screening provide the opportunity of quan...
Accurate prediction of disease-free survival (DFS) is essential for tailoring adjuvant regimens and ...
OBJECTIVES: To investigate the diagnostic performance of the quantitative morphological feature of s...
Histopathology classification of breast cancer is still a case of difficulty in sorting out the comp...
OBJECTIVES: To construct and validate a model based on clinical characteristics and magnetic resonan...