Other Cancers

Next-generation AI framework for comprehensive oral leukoplakia evaluation and management.

Oral potentially malignant disorder poses a significant risk of malignant transformation, particular...

Prediction of cervical cancer lymph node metastasis based on multisequence magnetic resonance imaging radiomics and deep learning features: a dual-center study.

Cervical cancer is a leading cause of death from malignant tumors in women, and accurate evaluation ...

From lab to life: technological innovations in transforming cancer metastasis detection and therapy.

Prediction of Benign and Malignant Small Renal Masses Using CT-Derived Extracellular Volume Fraction: An Interpretable Machine Learning Model.

RATIONALE AND OBJECTIVES: We developed a machine learning model comprising morphological characteris...

Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.

Cell and gene therapies, including CAR T-cells, CRISPR-based genome editing, and next-generation vir...

Ligand supplementation restores the cancer therapy efficacy of the antirheumatic drug auranofin from serum inactivation.

Auranofin, an FDA-approved antirheumatic gold drug, has gained ongoing interest in clinical studies ...

Machine learning-driven multi-omics analysis identifies a prognostic gene signature associated with programmed cell death and metabolism in hepatocellular carcinoma.

Exploring the feasibility of AI-based analysis of histopathological variability in salivary gland tumours.

This study uses artificial intelligence (AI) for differentiation between salivary gland tumours (SGT...

Reframing robotics in Mohs surgery for rare cutaneous sarcomas: conceptual promise and clinical realities in precision oncology.

Dermatofibrosarcoma protuberans (DFSP) is a rare, locally aggressive cutaneous sarcoma in which achi...

Multi-institutional study for comparison of detectability of hypovascular liver metastases between 70- and 40-keV images: DELMIO study.

PURPOSE: To compare the lesion detectability of hypovascular liver metastases between 70-keV and 40-...

Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study.

BACKGROUND: Anti-programmed cell death protein 1 (PD-1)/programmed cell death ligand 1 (PD-L1) immun...

Deep learning-based image enhancement for improved black blood imaging in brain metastasis.

OBJECTIVES: To evaluate the utility of a deep learning (DL)-based image enhancement for improving th...

Breast cancer is detectable from peripheral blood using machine learning over T cell receptor repertoires.

The immune system's defense abilities rely on the diversity of T and B lymphocytes. T Cell Receptors...

Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets.

Accurate detection of brain tumors remains a significant challenge due to the diversity of tumor typ...

BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images.

Breast cancer (BC) is a kind of cancer that is created from the cells in breast tissue. This is a pr...

Development and validation of a transformer-based deep learning model for predicting distant metastasis in non-small cell lung cancer using FDG PET/CT images.

BACKGROUND: This study aimed to develop and validate a hybrid deep learning (DL) model that integrat...

MRI-based radiomics for preoperative T-staging of rectal cancer: a retrospective analysis.

PUROPOSE: Preoperative T-staging in rectal cancer is essential for treatment planning, yet conventio...

Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer.

Pancreatic cancer (PC) is a highly aggressive malignancy in humans, where early diagnosis significan...

Nanozymes in Oral Medicine: From Catalytic Design to Advanced Dental Therapies.

Nanozymes have garnered increasing attention in oral healthcare due to their enzyme-mimetic properti...

Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.

Skin cancer, especially melanoma, has become one of the most widespread and deadly diseases today. T...

Network-based approach identifies key genes associated with tumor heterogeneity in HPV positive and negative head and neck cancer patients.

Head and Neck Squamous Cell Carcinoma (HNSCC) is the seventh most prevalent cancer worldwide and is ...