Other Cancers

RNA modifications in cancer and their detection: a review.

Ribonucleic acid (RNA) modifications, once viewed as static structural features, are now recognized ...

Deep learning for early diagnosis of uveal melanoma: a systematic review and meta-analysis.

BACKGROUND: Uveal melanoma (UM) is a rare cancer with an estimated annual incidence of 6 incidences ...

Incorporating artificial intelligence into imaging for surveillance and diagnosis of liver cancer: Innovations, challenges, and clinical translation.

Primary liver cancer, mainly hepatocellular carcinoma and intrahepatic cholangiocarcinoma, remains a...

XRepDDA: An Interpretable Drug-Disease Association Prediction Framework Leveraging Pretrained Chemical Language Models.

Drug repositioning aims to identify new indications for existing drugs, offering a cost-effective an...

Multimodal deep learning for laryngeal squamous cell carcinoma staging using CT and laryngoscopy.

OBJECTIVES: To develop and validate a multimodal deep learning model integrating clinical data, cont...

The METTL3-IGF2BP3 axis drives osteosarcoma progression by enhancing ID1 mRNA stability.

OBJECTIVE: Osteosarcoma (OS) is a highly aggressive malignant bone tumor. While ID1 plays a critical...

Response to venom immunotherapy: Exploratory retrospective machine learning clustering analysis.

BACKGROUND: Hymenoptera venom immunotherapy is an established treatment for severe allergic reaction...

Multi-cohort and single-cell profiling of aging genes reveals prognostic and therapeutic targets in breast cancer.

Aging-related transcriptional programs shape breast cancer progression, immune regulation, and thera...

Multi-omics analysis reveals features improving outcomes and immunotherapy resistance in MSS colorectal cancer.

In contrast to the MSI-H subtype, most microsatellite-stable (MSS) colorectal cancer (CRC) patients ...

Liquid biopsy biomarkers for accurate detection of malignant pulmonary nodules: a meta-analytic approach.

UNLABELLED: Pulmonary nodules are a common radiological finding that can be classified as either ben...

Pathology of peripheral neuroblastic tumors.

Neuroblastoma is the most prevalent extracranial solid tumor in pediatric age populations worldwide ...

Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of lymph node metastases in esophageal squamous cell carcinoma.

From inhibition to regulation: serpins in health and disease.

This issue of the Biomedical Journal highlights regulatory mechanisms that shape aging, disease prog...

Organ preservation in rectal cancer: an endoscopist's perspective on current evidence and future directions.

Rectal cancer management has increasingly shifted toward organ-preserving strategies that aim to mai...

An explainable AI workflow integrating automated volumetric body composition analysis for predicting pathological grading of gastroenteropancreatic neuroendocrine neoplasms: a multicenter cohort study.

BACKGROUND: Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are heterogeneous tumors with...

Unraveling heterogeneity in LUAD via multi-omics integration: molecular classification and therapeutic implications.

Lung adenocarcinoma (LUAD) displays significant morphological and molecular heterogeneity both withi...

Multi-omics deep learning improves FDG PET-CT-based long-term prognostication of breast cancer.

[18F] fluorodeoxyglucose positron emission tomography - computed tomography (FDG PET-CT) is increasi...

Construction of a risk model based on exosome-related genes predict clinical prognosis and therapeutic response and revealing TIMP1 as a promising target in colorectal cancer.

Various exosome-derived proteins have been reported to play essential roles in regulating colorectal...

Radiomics-based gradient boosting model on contrast-enhanced MRI for non-invasive prediction of epidermal growth factor receptor expression and therapeutic response to EGFR-targeted antibody-drug conjugates in high-grade glioma organoid models.

BACKGROUND: Epidermal growth factor (EGF) and its receptor EGF(EGFR) play crucial roles in glioblast...

Development and Validation of a Machine Learning Model for Dementia Staging in a Heterogeneous Cognitive Impairment Cohort Using Multimodal Features.

RATIONALE AND OBJECTIVES: With the emergence of disease-modifying therapies, precise staging of deme...

Clinically aligned whole-body MRI segmentation of skeletal metastases via Supervised Anatomical Pretraining.

In oncology practice, response assessment of metastatic disease requires reliable and reproducible q...