Latest AI and machine learning research in other cancers for healthcare professionals.
Immunotherapy with immune checkpoint blockade (ICB) in epithelial ovarian carcinoma (EOC) shows limi...
OBJECTIVE: Soft tissue sarcomas (STS) are a rare and heterogeneous group of tumors that pose a signi...
Neoadjuvant systemic therapy has emerged as a strategy to improve outcomes in high-risk localized ge...
BACKGROUND AND OBJECTIVE: Gastric cancer is a heterogeneous and complicated epithelial cancers. Chro...
Early detection of esophageal squamous cell carcinoma (ESCC) is critical for optimizing patient outc...
To investigate the role of Benzo[a]pyrene (BaP) in driving the Correa cascade during gastric cancer ...
UNLABELLED: Timely diagnosis and intervention in colorectal cancer are critical to improving patient...
Imaging biomarkers have emerged as increasingly important endpoints in cancer clinical trials. Incor...
OBJECTIVES: To develop and validate machine learning (ML) models using clinical and contrast-enhance...
OBJECTIVE: Radiologists often face challenges in differentiating benign from malignant sacral bone l...
Polysomnography (PSG)-based accurate sleep staging is essential to monitor sleep quality and sleep-r...
BACKGROUND: Immune checkpoint inhibitor therapy (ICI) with nivolumab+ipilimumab is a first-line (1L)...
T-cell receptors (TCRs) are generated through somatic recombination of variable (V), diversity (D), ...
Salivary gland carcinomas (SGC) are rare and heterogeneous tumors with limited therapeutic options i...
OBJECTIVE: To evaluate the clinical value of ultra-low-dose CT (ULDCT) with deep learning image reco...
Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise imp...
Patients with chronic obstructive pulmonary disease (COPD) are at increased risk of lung cancer, and...
BACKGROUND: Metabolic reprogramming is a hallmark of cancer. However, the precise mechanisms by whic...
Hepatocellular carcinoma remains a leading cause of cancer mortality worldwide, with peritumoral mic...
BACKGROUND: Pathological reports provide comprehensive insights into the clinical and pathological f...
RATIONALE AND OBJECTIVES: To develop a cluster-specific magnetic resonance (MR) radiomics model for ...