Latest AI and machine learning research in other cancers for healthcare professionals.
The tumor microenvironment (TME) of kidney renal clear cell carcinoma (KIRC) exhibits complex dynami...
BACKGROUND: Brain metastasis (BM) stands as a significant contributor to mortality among cancer pati...
Existing prostate cancer monitoring methods, reliant on prostate-specific antigen (PSA) measurements...
The Ki67 score is a crucial prognostic biomarker for neuroendocrine tumors, but its manual assessmen...
Early detection of oral squamous cell carcinoma (OSCC) significantly enhances treatment outcomes and...
ObjectiveThis study aimed to develop a robust framework for breast cancer diagnosis by integrating a...
RATIONALE AND OBJECTIVES: This study aimed to develop an interpretable machine learning model using ...
BACKGROUND: Recent advances in histology scanning technology and Artificial Intelligence (AI) offer ...
Oral cancer (OC) remains a significant malignant neoplasm in both the developed and developing world...
Deep learning techniques have become pivotal in medical image segmentation, but their success often ...
The role of gut dysbiosis in shaping immunotherapy responses is well-recognized, yet its effect on t...
Breast cancer is a relatively common carcinoma among women worldwide and remains a considerable publ...
The global burden of cancer has increased in recent years, posing a major public health challenge. G...
Hepatocellular carcinoma (HCC) is a highly malignant tumor with elevated incidence and mortality rat...
Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...
Basement membranes (BMs) and tumor-associated macrophages (TAMs) are crucial stromal components in p...
O-glycosylation significantly influences cellular physiological processes and disease regulation by ...
Brain tumors are becoming more prevalent, often leading to severe disability and high mortality rate...
Skin cancer is a significant global public health issue, with millions of new cases identified each ...
Variability in T cell performance presents a major challenge to adoptive cellular immunotherapy (ACT...
This study aimed to create a visualized extreme gradient boosting (XGBOOST) model to distinguish pro...