Latest AI and machine learning research in other cancers for healthcare professionals.
RATIONALE AND OBJECTIVES: Accurate contouring of the Gross Tumor Volume (GTV) in High-Grade Gliomas (HGGs) is a cornerstone of effective Radiation Therapy (RT) planning, as it influences tumor control and spares normal tissue, thereby directly impacting treatment precision. However, the standard manual approach to GTV contouring requires considerable time and is prone to inter-observer variability...
Primary breast cancer (PBC) with axillary lymph node metastasis (ALNM+) is associated with distinct clinical outcomes, including reduced survival (The Cancer Genome Atlas/Foshan cohorts, P < 0.05) and an attenuated response to anti-programmed cell death protein 1 antibody/anti-programmed death-ligand 1 antibody (anti-PD-1/anti-PD-L1) therapy. Through ALNM-stratified single-cell RNA sequencing prof...
B-cell-directed immunotherapy holds great promise for treating solid tumors, where barriers such as desmoplastic stroma and low immunogenicity have li...
Non-small cell lung cancer (NSCLC) presents persistent challenges in immunotherapy, as the clinical benefit of programmed cell death protein 1 (PD-1) ...
Single-atom nanozymes (SANs) with transition metals as their core are nanomaterials characterized by atomically dispersed active sites and intrinsic e...
Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, remains a major global health concern due to its high incidence and mort...
The field of high-entropy alloy nanoparticles (HEA-NPs) had to move and indeed has moved beyond the early enthusiasm of simply "mixing five or more el...
BACKGROUND: Endoscopic diagnosis of Ampulla of Vater (AoV) lesions remains challenging owing to complex morphology and limited representative images, ...
BACKGROUND: Vessels encapsulating tumor clusters (VETC) are significantly associated with poor prognosis in hepatocellular carcinoma (HCC). However, i...
The immunosuppressive tumor microenvironment (TME) enables cancer cells to evade clinical immunotherapies. Neural networks are vital components of the...
Medullary thyroid carcinoma (MTC) is a rare, aggressive neuroendocrine tumor with limited treatment options and frequent recurrence. Comprehensive rec...
Breast cancer remains a major global health challenge with high incidence and mortality rates among women. Recent studies have highlighted the critica...
BACKGROUND: Artificial intelligence (AI)-assisted endoscopy facilitates upper gastrointestinal lesion detection. Whether Helicobacter pylori (H. pylor...
Bladder cancer remains a major global health challenge, characterized by diagnostic uncertainty, substantial treatment costs and high recurrence rates...
BACKGROUND: Cancer-associated fibroblasts (CAFs) are key players in the tumor microenvironment (TME), but their roles in prognosis and immunotherapy r...
The gut microbiome is recognized as a determinant of response to immune checkpoint inhibitor (ICI) therapies in cancer. However, the clinical translat...
PURPOSE: To evaluate the diagnostic accuracy of artificial intelligence (AI) based on convolutional neural network (CNN) in diagnosing oral squamous c...
Direct reprogramming of immune cells holds promise for immunotherapy but is constrained by limited knowledge of transcription factor (TF) networks. He...
The rapid development of multimodal large language models (LLMs) such as GPT and Med-PaLM is reshaping medical practice. Skin cancer, one of the most ...
Lung-cancer-on-a-chip (LCOC) technologies have advanced rapidly, yet most models evaluate mechanical strain, patient-derived tumors, multi-organ inter...