Other Cancers

Multimodal Deep Learning for Benign vs Malignant Eyelid Lesion Classification Using Optical Coherence Tomography and Clinical Images.

PURPOSE: To evaluate the performance of deep learning models using optical coherence tomography (OCT) volumes, clinical photographs, and their multimodal fusion to classify eyelid lesions as benign or malignant, using histopathology as the reference standard. METHODS: Prospective cohort study conducted between January 2023 and January 2025 at a single tertiary academic oculofacial plastic surgery ...

What do UK hospice websites communicate about the meaning of palliative care?

OBJECTIVES: Hospice websites are an important source of information for the public. This study examined whether information communicated about palliative care aligned with WHO and the International Association for Hospice and Palliative Care (IAHPC) definitions of palliative care. METHODS: A framework analysis was undertaken using a framework developed considering key terms from the WHO and IAHPC ...

Interpretable machine learning model using peripheral blood for non-invasive detection of moderate-to-severe myelofibrosis in JAK2 V617F-positive MPNs: A multicentre pilot proof-of-concept study.

Progression to moderate-to-severe myelofibrosis (MF) in JAK2 V617F-positive myeloproliferative neoplasms (MPNs) is often clinically silent, and bone m...

[Stratified application of CA19-9 in the surveillance of postoperative recurrence of pancreatic cancer].

Pancreatic cancer is characterized by high postoperative metastasis and recurrence rates, making the identification of early recurrence markers with h...

[MRI-based deep learning model for preoperative prediction of urothelial carcinoma with variant histology of bladder: a retrospective, multicenter study].

Objectives: To develop a deep learning model based on magnetic resonance imaging (MRI) for the preoperative prediction of urothelial carcinoma with va...

Applying artificial intelligence and machine learning framework for de novo design of pyrazole-based VEGFR-2 inhibitors.

VEGFR-2 is an important target for oncological interventions due to its key role in angiogenesis, a biological process vital for tumour expansion and ...

Evolution of Gastrointestinal Inflammatory Diseases and Neoplasm Burden in Super-Elderly Populations: Integrated GBD 2023, CHARLS, and CLHLS Analyses of China and G20 Countries.

BACKGROUND: Rapid population aging has profoundly altered the epidemiological profile of gastrointestinal diseases in individuals aged ≥75 years. Alth...

Decoding lactylation heterogeneity in glioblastoma: machine learning identifies G6PC3 as a prognostic target.

BACKGROUND: Glioblastoma (GBM) is the most common malignant glioma in adults. It has an extremely poor prognosis, highlighting an urgent need for new ...

Exploring the value of peritumoral brain zone for classification of two malignant brain tumors based on the MRI interpretable models.

OBJECTIVES: This study aims to develop and validate a novel multimodal interpretable artificial intelligence model capable of fusing radiomics feature...

Designing an Artificial Intelligence Transcription Tool to Support Multimodal Serious Illness Communication: Institutional Experience and Best Practices.

BACKGROUND: Communication during serious illness is often complex, emotionally charged, and cognitively demanding, particularly for patients and famil...

R-loop-Associated Regulator VDAC1 Drives Malignant Phenotypes in Uveal Melanoma.

BACKGROUND: R-loops regulate genome stability and transcription, but their roles in uveal melanoma (UVM) are unclear. METHODS: A total of 1,185 R-loop...

Predicting neoadjuvant breast cancer therapy response using BRIDGE from tumor transcriptomics and histopathology.

BACKGROUND: While expression-based signatures inform adjuvant therapy in breast cancer (BC), no approved molecular biomarkers exist for the neoadjuvan...

Recent Updates on Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration and Its Clinical Implications.

Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is the standard minimally invasive modality for mediastinal staging in no...

Machine learning to predict occult neck node metastasis in early oral squamous cell carcinoma - a comparison of models to risk stratify patients undergoing a sentinel lymph node biopsy.

BACKGROUND: Sentinel node biopsy (SNB) provides pathological staging of the neck in T1/T2 node-negative oral squamous cell carcinoma (OSCC). Up to 85%...

Beyond target lesions: Prognostic value of longitudinal AI-derived whole-body [1⁸F]FDG PET/CT metrics in metastatic melanoma.

PURPOSE: To investigate the prognostic value of an artificial intelligence (AI)-based semi-automated tool for longitudinal whole-body quantification o...

Can machine learning predict vessels that encapsulates tumor cluster ptterns and histological differentiation in solitary small (< 5 cm) hepatocellular carcinoma?

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. Machine learning (ML) may enable the noninvasive prediction of histopat...

Integrating single-cell analysis and digital pathology for risk stratification in pancreatic cancer.

Early liver metastasis is a major factor contributing to the poor prognosis of pancreatic ductal adenocarcinoma (PDAC). Single-cell RNA sequencing (sc...

Enterotype-specific microbial biomarkers of immune checkpoint inhibitor response revealed by large-scale integrated metagenomic analysis.

The gut microbiota appears to play a critical role in modulating antitumor immune responses and influencing the efficacy of cancer immunotherapy drugs...

Local control and dose selection for lung cancer brain metastases treated with radiosurgery: an artificial intelligence model.

Clinical and radiological outcomes after Stereotactic radiosurgery (SRS) for lung cancer brain metastases are heterogeneous, and prescription dose sel...

Cancer immunotherapy: mechanisms, clinical applications, resistance and future directions.

Cancer immunotherapy has revolutionised oncology by utilising immune-mediated mechanisms to achieve durable anti-tumour responses and long-term clinic...