Latest AI and machine learning research in breast cancer for healthcare professionals.
The integration of artificial intelligence into pathology is transforming the assessment of histolog...
BACKGROUND: Colorectal cancer (CRC) represents the third most prevalent malignancy worldwide and acc...
Cancer therapies such as chemotherapy, radiopharmaceutical therapy, and transarterial embolization r...
Small cell lung cancer (SCLC) is known for its rapid growth and early metastasis, and SCLC patients ...
INTRODUCTION: Artificial intelligence (AI) can complete tasks that once required human cognitive eff...
Resistance to third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (T...
Radiation-induced cardiac toxicity remains a major concern in left-sided breast cancer radiotherapy,...
BACKGROUND: Tumor evolution is a spatiotemporal dynamic process orchestrated by the interplay of gen...
Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen re...
BACKGROUND: Mitochondria-associated endoplasmic reticulum membranes (MAM) play a critical regulatory...
PURPOSE: To develop and validate deep leaning-based machine learning models using longitudinal multi...
In the oil industry, accurate flow rate determination and control in pipelines are critical for ensu...
Early identification of malignant ovarian tumors is critical for informing treatment decisions and e...
INTRODUCTION: Blood transfusion in patients undergoing surgical resection for pancreatic ductal aden...
Radiation necrosis (RN) remains a challenging complication of upfront radiation therapy for both bra...
Computed tomography (CT) is essential to modern clinical practice but contributes substantially to p...
Cisplatin resistance limits the effectiveness of platinum-based chemotherapy for lung adenocarcinoma...
Breast cancer (BC) remains one of the leading causes of death among women in the world, depending on...
UNLABELLED: Genetically engineered mouse models (GEMM) of cancer are useful for exploring the develo...
Biodosimetry plays a crucial role in radiation emergency preparedness and response by enabling effic...
Deep learning-based Organ-at-Risk (OAR) and tumor segmentation is vital for radiation therapy planni...