Other Cancers

Deep learning image reconstruction improves visualization of arterial phase hyperenhancement and washout appearance on dual-energy CT for hepatocellular carcinoma: a non-inferiority study.

PURPOSE: This study aimed to evaluate the clinical value of deep learning image reconstruction (DLIR)-based dual-energy CT (DECT) in improving image quality for hepatocellular carcinoma (HCC). METHODS: This single-center retrospective analysis of a prospective cohort included patients enrolled between June 2024 and July 2025. Virtual monoenergetic images (VMI) at 40, 50, 60, and 74-keV (120 kVp-li...

Toward the prevention of clinically manifest Parkinson's disease.

Parkinson's disease (PD) is the fastest growing neurological disorder worldwide and is projected to affect unprecedented numbers of individuals by 2050. At the same time, PD research is undergoing a profound conceptual transformation. Advances in molecular neuropathology, genetics, biomarker science, artificial intelligence, multimodal imaging, digital medicine, and precision therapeutics are resh...

EMBC Special Issue: SAM-HovNet: SAM-Enhanced Multi-Class Nucleus Segmentation and Classification in Hepatocellular Carcinoma Slides.

Hepatocellular carcinoma (HCC) is the most common primary liver cancer and a leading cause of cancer-related mortality. Manual nuclear analysis in HCC...

Convergences and divergences in nursing ethics across the European Union: A qualitative comparative analysis of national codes.

BACKGROUND: Nursing ethics guides practice, but European Union national codes were developed in diverse socio-legal contexts, generating heterogeneous...

Beyond Diagnosis: Magnetic Resonance Imaging-Based Imaging Biomarkers for Tumor Biology, Prognosis, and Clinical Decision-Making in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is a biologically heterogeneous malignancy staged according to tumor burden and clinical status. Molecular and histopat...

AI-HOPE lung cancer: a multicenter real-world registry integrating artificial intelligence for metastatic non-small-cell lung cancer.

BACKGROUND: The AI-HOPE Lung Cancer study is a multicenter initiative designed to integrate artificial intelligence (AI) and real-world data to improv...

Integrative multi-omics reveals a prognostic and therapeutic landscape of synthetic lethality-associated signatures in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) exhibits considerable heterogeneity and therapeutic resistance. Here, we integrated single-cell RNA sequencing, spatial tra...

Automated B-cell and plasma cell identification using unsupervised clustering by FlowSOM and an excel-based classification model.

Manual gating for plasma cell (PC) identification in multiparametric flow cytometry (MFC) is time-consuming and operator-dependent, especially when PC...

UCtracker: A Deep Learning-Based DNA Methylation Model for Noninvasive Diagnosis and Recurrence Surveillance of Urothelial Carcinoma in a Prospective Study.

Noninvasive diagnosis and longitudinal surveillance of urothelial carcinoma (UC) remain clinically challenging. Here, we developed and prospectively v...

Integrative transcriptomics and single-cell analysis identify SIX4 as a candidate epithelial target in ovarian cancer and PCOS-associated ovarian dysregulation.

PURPOSE: Ovarian cancer is a heterogeneous solid tumor, whereas polycystic ovary syndrome (PCOS) is a distinct endocrine-metabolic ovarian disorder. W...

Peripheral blood profiles reflecting progenitor lineage balance are associated with molecular response in chronic myeloid leukemia.

Early achievement of deep remission improves patients' outcome in chronic myeloid leukemia (CML) treatment, highlighting the need for predictive indic...

CHRNA5 orchestrates tumorigenesis and immune invasion through the CaMKII/AKT/NF-κB-CCL20 axis in pancreatic ductal adenocarcinoma.

AIMS: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by poor prognosis, extensive perineural invasion (PNI), ...

Differentiation of Pathologically Distinct Intracranial Tumors Using SAGE-Based Habitat Analysis: A Multicenter Study.

RATIONALE AND OBJECTIVES: Preoperative differentiation of meningiomas, brain metastases, and gliomas remains challenging because of overlapping magnet...

Validation of a deep learning-based system for sleep staging, arousal detection, and respiratory event scoring in atrial fibrillation patients.

PURPOSE: Obstructive sleep apnea is a common yet underdiagnosed sleep disorder in patients with atrial fibrillation (AF). Although polysomnography (PS...

Cancer drug response and resistance: molecular mechanisms and combating strategies.

Despite remarkable advances in cancer drug treatment, including chemotherapy, targeted therapy, and immunotherapy, therapeutic resistance remains a fo...

Integrating network toxicology, machine learning, and single-cell sequencing systems to analyze autophagy core genes in lung adenocarcinoma.

The heterogeneity and complex tumor microenvironment of lung adenocarcinoma lead to poor prognosis. Autophagy, as a key cellular process, interacts wi...

Integrated Network Analysis Suggests an miR-21/MMP/VEGF-Associated Regulatory Axis in Gastric Cancer.

BACKGROUND, AIMS: Gastric cancer (GC) pathogenesis involves complex molecular interactions that remain incompletely understood at a biological systems...

Molecular Characterization and Immune Modulation of Schwann Cells in Vestibular Schwannoma.

Vestibular schwannoma (VS) is a benign tumor originating from the vestibular nerve, and its complex tumor microenvironment presents significant challe...

Automated Differentiation of Oral Red-White Lesions: An Interpretable Deep Learning Approach Combining Ensemble Architectures and Saliency Maps.

INTRODUCTION: Oral Potentially Malignant Disorders (OPMDs), including Leukoplakia and Erythroplakia, carry significant risks of malignant transformati...

Applications of Artificial Intelligence in Cancer Diagnosis and Treatment.

Driven by changes in lifestyle and environmental factors, the global incidence of cancer is steadily increasing, which has established it as a leading...