Latest AI and machine learning research in other cancers for healthcare professionals.
Immune checkpoint blockade therapy has revolutionized clinical oncotherapy by intercepting immunosup...
BACKGROUND: Treatment of metastatic spinal disease often involves surgical intervention; however, su...
Early cancer detection improves patient outcomes, but most Raman spectroscopy research has focused o...
Angiogenesis, a cornerstone of vascular development, tissue regeneration, and tumor progression, is ...
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by the ...
Perineural invasion (PNI) refers to the infiltration of tumor cells into the connective tissue of ne...
Immunotherapy aims to control the immune system against diseases such as cancer or infections. Nanot...
OBJECTIVES: Post-surgical prediction of recurrence or metastasis for primary gastrointestinal stroma...
INTRODUCTION: Image preprocessing is crucial for optimizing radiomics feature extraction, however, i...
BACKGROUND AND OBJECTIVE: Accurate staging of keratoconus (KC) is crucial for timely intervention an...
BACKGROUND: Differentiating intrahepatic cholangiocarcinoma (ICC) from hepatocellular carcinoma (HCC...
UNLABELLED: Growing research evidence indicates a substantial influence of the intra-tumor microbiom...
() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, ...
Contemporary surgical pathology workflows often prioritize slide examination based on case registry ...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant tumors of th...
UNLABELLED: Spinal tumors represent 15% of all central nervous system malignancies, with intramedull...
BACKGROUND: The leiomyosarocma (LMS) is the most common soft tissue sarcoma, and its molecular subty...
INTRODUCTION: Adenocarcinoma (AD) and squamous cell carcinoma (SCC) are frequently observed forms of...
Laser interstitial thermal therapy (LiTT) has emerged as a minimally invasive, MRI-guided treatment ...
BACKGROUND: Radiomics analyzes quantitative features from medical images to reveal tumor heterogenei...
PURPOSE: This study aimed to develop a deep learning (DL) model based on three-dimensional multi-par...