Other Cancers

The Potential of Ensemble-Based Automated Sleep Staging on Single-Channel EEG Signal From a Wearable Device.

Machine-learning-based sleep staging models have achieved expert-level performance on standard polys...

Multimetallic nanostructures: innovations and applications in environmental remediation, biosensing, and medical technologies.

Multimetallic nanostructures (MNs) have emerged as versatile materials with significant potential in...

Artificial Intelligence-assisted Risk Stratification of Thyroid Nodules with Atypia of Undetermined Significance.

OBJECTIVE: Given the limitations of conventional approaches in managing indeterminate thyroid nodule...

Hybrid imaging-clinical model for predicting microvascular invasion in hepatocellular carcinoma using deep learning-derived features from CT.

The role of adipose tissue in predicting microvascular invasion (MVI) in patients with hepatocellula...

Deep visual detection system for oral squamous cell carcinoma.

BACKGROUND: Oral Squamous Cell Carcinoma (OSCC) is a widespread and aggressive malignancy where earl...

Multiparametric MRI radiomics nomogram predicts synchronous distant metastasis in rectal cancer.

This study aimed to evaluate the utility of a multiparametric MRI-based radiomics nomogram for ident...

Radiogenomics predicts immune microenvironment heterogeneity and response to combination immunotherapy in hepatocellular carcinoma.

CT deep learning radiomics and genomics for predicting staging of epithelial ovarian cancer.

BACKGROUND: Accurate preoperative staging is critical for improving the prognosis, treatment, and su...

SERPINA1 as a Shared Biomarker in Periodontitis and Oral Squamous Cell Carcinoma.

OBJECTIVE: Periodontitis (PD) and oral squamous cell carcinoma (OSCC) frequently co‑occur in clinica...

Integrated multi-omics analysis of prognostic model and immune microenvironment in intrahepatic cholangiocarcinoma.

BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is an aggressive malignancy originating from the ...

Peripheral Nerves in Cancer: Regulatory Roles and Therapeutic Strategies.

Cancer neuroscience has emerged as a transformative frontier in oncology research, focusing on the i...

Deciphering the molecular landscape of Sjögren's disease, mucosa-associated lymphoid tissue lymphoma, and thyroid cancer: unraveling the complexities of disease mechanisms and diagnostic biomarkers.

BACKGROUND: Sjögren's disease (SjD), mucosa-associated lymphoid tissue lymphoma (MALT lymphoma), and...

Machine learning integrating MRI and clinical features predicts early recurrence of hepatocellular carcinoma after resection.

This study aims to construct a robust artificial intelligence (AI) model to predict early recurrence...

SERS-enabled immune monitoring: Decoding the tumor microenvironment for precision Cancer immunotherapy.

The tumor immune microenvironment (TME) is pivotal in regulating cancer initiation, progression, and...

Smart Designer Nanozymes for Precision Cancer Therapy: Recent Advances and Prospects.

Nanozymes are enzyme-mimicking nanomaterials that are promising for diverse biomedical applications;...

A prognostic signature of ferroptosis and lipid metabolism related genes predicts survival and immunotherapy response in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is a common and aggressive form of cancer. There is an in...

Diagnostic performance of radiomics for detecting and characterising upper tract urothelial carcinoma (UTUC): a systematic review.

PURPOSE: Upper tract urothelial carcinoma (UTUC) is a rare but aggressive malignancy where accurate ...

Accessible cartilage tumor malignancy prediction via vision-language foundation model adaptation.

OBJECTIVE: To predict cartilage tumor malignancy from radiographic images combined with readily avai...

Lactylation-driven gene signatures define breast cancer prognosis: a predictive model and insights into immune microenvironment dynamics.

BACKGROUND: Breast cancer is a leading cause of cancer-related mortality worldwide, with poor progno...

Machine learning-based prediction of progression from idiopathic cytopenia of undetermined significance to myeloid malignancies.

Although the risk of progression varies, a subset of patients with idiopathic cytopenia of undetermi...

Multiomics Profiling of T-cell Leukemia and Lymphoma Enables Targeted Therapeutic Discovery.

UNLABELLED: T-cell leukemias and lymphomas (TCL) form a heterogeneous group of rare and often aggres...