Latest AI and machine learning research in other cancers for healthcare professionals.
PURPOSE: To develop a deep learning (DL)-based automated segmentation model for rectal cancer on T2-...
Computed tomography (CT) is essential for finding and diagnosing kidney tumors and cysts because goo...
Accurate, non-invasive liver fibrosis detection is essential for chronic liver disease management, p...
PURPOSE OF REVIEW: Biochemical recurrence (BCR) after radical prostatectomy occurs in up to one-thir...
PURPOSE: Sarcopenia has already been widely investigated as a potential indicator of negative outcom...
VDAC2's known role in cancer and immune regulation via enhancing the CD8+ T cell-mediated killing, a...
Oral squamous cell carcinoma (OSCC) remains the most common head and neck malignancy, for which earl...
Objective: To evaluate the predictive value of machine learning combined with radiomics for treatmen...
PURPOSE: Inflammatory-nutritional biomarker scores derived from routine blood tests have established...
This study develops a deep learning-based model to automate the instance segmentation of nuclei and ...
Allergen immunotherapy (AIT) is currently the only disease-modifying therapy for allergic airway inf...
BACKGROUND: Intravoxel incoherent motion (IVIM) analysis of diffusion-weighted MRI (DWI) provides mi...
OBJECTIVE: The primary aim of this study was to develop and internally validate ultrasound-based rad...
Parkinson's disease (PD) affects 10Â million globally, with accurate staging essential for personaliz...
Neoantigens have emerged as central targets in the development of individualized cancer vaccines, as...
BACKGROUND: Hepatocellular carcinoma (HCC) remains a major cause of cancer-related mortality, with f...
PURPOSE: Lung adenocarcinoma (LUAD), the most common subtype of non-small cell lung cancer (NSCLC), ...
Cancer remains a leading cause of death worldwide, with lineage plasticity emerging as a hallmark th...
Although cancer immunotherapy has revolutionized oncology, its clinical efficacy remains substantial...
Exosomes are nanoscale extracellular vesicles whose membrane-embedded proteins encode phenotypic inf...
Structural variants (SVs) are increasingly recognized as important contributors to oncogenesis throu...