Latest AI and machine learning research in other cancers for healthcare professionals.
Accurate prediction of pneumoconiosis is essential for individualized early prevention and treatment...
Osteosarcoma is a primary malignant tumor that commonly affects children and adolescents, with a poo...
BACKGROUND: Liver transplantation (LT) is offered as a cure for Hepatocellular carcinoma (HCC), howe...
BACKGROUND: Efficient and precise diagnosis of non-small cell lung cancer (NSCLC) is quite critical ...
BACKGROUND: The non-invasive biomarkers for predicting immunotherapy response are urgently needed to...
BACKGROUND: Predicting early recurrence (ER) of hepatocellular carcinoma (HCC) accurately can guide ...
BACKGROUND: Despite the availability of established surgical and chemotherapy options, the treatment...
OBJECTIVES: Upper tract urothelial carcinoma (UTUC) is a rare, aggressive lesion, with early detecti...
Liver fibrosis is a pathological condition characterized by the abnormal proliferation of liver tiss...
OBJECTIVE: To establish a predictive model for prostate cancer bone metastasis utilizing multiple ma...
To construct a prediction model of olfactory dysfunction after transnasal sellar pituitary tumor res...
Gastrointestinal stromal tumors (GISTs) are a rare type of tumor that can develop liver metastasis (...
The most common and aggressive tumor is brain malignancy, which has a short life span in the fourth ...
The retroperitoneal liposarcoma (RLPS) is a rare malignancy whose only curative therapy is surgical ...
The functions of immunosenescence are closely related to skin cutaneous melanoma (SKCM). The aim of ...
Tumor heterogeneity is a primary factor that contributes to treatment failure. Predictive tools, cap...
Cancer immunotherapy has witnessed rapid advancement in recent years, with a particular focus on neo...
BACKGROUND: Robust and practical prognosis prediction models for hepatocellular carcinoma (HCC) pati...
BACKGROUND: The different tumor appearance of head and neck cancer across imaging modalities, scanne...
BACKGROUND: The increasing volume and intricacy of sequencing data, along with other clinical and di...
INTRODUCTION: This study aimed to develop a prognostic nomogram for predicting the recurrence-free s...