Latest AI and machine learning research in other cancers for healthcare professionals.
OBJECTIVE: Glioblastoma (GBM) is the most aggressive type of intracranial malignant tumor, known for...
BACKGROUND: Diagnostics and therapeutics for corneal nerve pathologies are rapidly evolving, with co...
This communication provides a multidisciplinary perspective on the contribution of nuclear medicine,...
We propose Open Immune Oncology (OpenIO), a framework integrating generative AI and omics to advance...
Cervical intraepithelial neoplasia is the primary type of cervical precancerous lesion; however, man...
BACKGROUND: This study investigates the relationship between histopathological (HP) features, immuno...
BACKGROUND: Barrett's oesophagus (BE), the precursor to oesophageal adenocarcinoma, progresses throu...
Tumors are highly heterogeneous, and whole-lesion radiomics analysis is a popular method for extract...
Chimeric antigen receptor (CAR) T cells have demonstrated curative potential in hematologic cancers ...
OBJECTIVE: To identify the predictors of renal relapse in patients with lupus nephritis (LN) and dev...
OBJECTIVE: To specify a value operating system (VOS) and its executable metric-the Value Index (VI)-...
OBJECTIVE: 30-day survival after cardiac arrest is low, 12.4% and 36% for out-of-hospital and in-hos...
BACKGROUND: Limited therapeutic options are available for patients with advanced-stage mycosis fungo...
This topical Collection presents a series of studies that examine molecular mechanisms, diagnostic a...
This study aimed to develop a robust prediction model- using machine-learning algorithms based on th...
Immune-checkpoint inhibitors benefit a subset of patients with advanced cancer, and the metabolic de...
BACKGROUND: Research on the early detection of pancreatic cancer has grown rapidly in recent years; ...
This scientometric study critically evaluates the global evolution of myelodysplastic syndromes (MDS...
Traditional TNM staging inadequately captures the recurrence risk of rectal cancer (RC), limiting pr...
OBJECTIVE: This study aims to assess the image quality and perceived diagnostic confidence of resear...
BACKGROUND: Diagnosis of oral squamous cell carcinoma (OSCC) currently relies heavily on the subject...