Other Cancers

18F-Fluorodeoxyglucose-positron emission tomography/computed tomography in Lymphoma.

FDG-PET/CT is central to Lugano-based staging, Deauville-scored response assessment, and prognostication across Hodgkin and non-Hodgkin lymphoma subtypes. Quantitative metrics, particularly total metabolic tumor volume, have emerged as powerful independent prognostic biomarkers. In Hodgkin's lymphoma, interim PET successfully guides treatment de-escalation, while in DLBCL, interim PET remains prog...

AI-driven dual-task prediction model for co-stratifying efficacy and toxicity in NSCLC immunotherapy.

While effective against non-small cell lung cancer (NSCLC), PD-1 inhibitors can induce immune-related adverse events (irAEs), occurring in up to 15.2% of patients and potentially fatal. Currently, effective predictive biomarkers capable of simultaneously forecasting both irAEs and immune checkpoint inhibitor (ICI) responders remain elusive. This limitation hinders the safe clinical application of ...

Artificial intelligence and extracellular vesicles in oncology: towards tumor diagnosis, prediction, and therapy.

Extracellular vesicles (EVs) have emerged as promising tools for early cancer detection, therapeutic monitoring, and drug delivery in oncology. Artifi...

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi-scenario applications, and translational prospects.

Targeted protein degradation (TPD) has emerged as a transformative therapeutic strategy that offers unprecedented opportunities to eliminate tradition...

Additional sectioning and AI-assisted diagnosis reveal underdiagnosis of serous (pre)malignancies in fallopian tube specimen from BRCA1/2 carriers.

AIM: Germline BRCA1/2 pathogenic variant carriers are at increased risk for high-grade serous carcinoma (HGSC) and are therefore advised to have a ris...

A radiomic approach to non-invasively decode tumor immune microenvironmental features in surgically resected non-small cell lung cancer.

INTRODUCTION: This study aimed to develop radiomics-based multivariate classifiers able to non-invasively decipher the tumor immune microenvironment (...

Cancer immunotherapy under immune pressure: Mechanisms of resistance and the shift toward precision immune engineering.

Cancer immunotherapy has transformed the treatment landscape across multiple malignancies; however, durable responses remain limited to a subset of pa...

Enhancer Collapse Dictates PKHD1 Silencing and Centrosome-Mediated Chromosomal Instability and Metastasis in Clear Cell Renal Cell Carcinoma.

Chromosomal instability (CIN) drives clear cell renal cell carcinoma (ccRCC) progression, yet its upstream triggers remain elusive. To identify key dr...

Global Research Trends and Future Perspectives in Salivary Gland Oncology: A Scientometric Evaluation.

INTRODUCTION: Salivary gland tumors (SGTs) comprise a heterogeneous group of neoplasms with diverse histopathological and molecular features. AIM: Thi...

INTERPRETABLE DEEP LEARNING APPLIED TO FLUORESCENCE CONFOCAL MICROSCOPY FOR INTRAOPERATIVE TISSUE ASSESSMENT IN PEDIATRIC SURGICAL ONCOLOGY.

BACKGROUND: In pediatric surgical oncology, intraoperative tissue assessment is limited by small specimen size and the absence of real time histopatho...

Prediction of Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma Using a Deep Learning Radiomics Model Based on SAM3 Automatic Segmentation of Ultrasound Images: A Multicenter Cohort Study.

RATIONALE AND OBJECTIVES: We aimed to establish a Segment Anything Model 3 (SAM3) based on ultrasound images for automatic papillary thyroid microcarc...

Biological domain shift and statistical nesting concerns in generative AI-based spatial tumor growth prediction for pediatric diffuse midline glioma.

BACKGROUND: Laslo et al. recently reported a guided denoising diffusion implicit model for spatial tumor growth prediction on magnetic resonance imagi...

Single-Atom Nanozymes for High-Efficiency Cancer Immunotherapy by Targeting Tumor Microenvironment.

Tumor immunotherapy has emerged as a transformative strategy for cancer treatment. However, its clinical efficacy remains limited by the immunosuppres...

Deep learning-assisted detection of lymph node metastases in bladder cancer.

BACKGROUND: Bladder cancer is the most common malignancy of the urinary tract and is often treated with radical cystectomy with lymph node dissection,...

From black-box prediction to transparent insight: the status quo and paradigm shift of explainable artificial intelligence in hepatocellular carcinoma research.

Hepatocellular carcinoma (HCC) is a malignancy with high global incidence and mortality, whose significant heterogeneity and poor prognosis pose sever...

Deep Learning Enables Automated Detection of Mature B Cell Neoplasms by Flow Cytometry.

Multiparameter flow cytometry is essential for diagnosing mature B-cell lymphomas, yet analysis remains largely manual, time-consuming, and subject to...

Multi-Classification of Vocal Cord Masses via Local-Higher Order Graph Neural Network on Voice Data.

OBJECTIVE: To develop an intelligent diagnostic model based on a Local-Higher Order Graph Neural Network (LHGNN) to achieve noninvasive auxiliary mult...

HTS-Oracle v2: Prospective Ai-Guided Discovery and Experimental Validation of Small Molecule Modulators Across Multiple Targets.

High-throughput screening (HTS) remains the cornerstone of early phase small molecule discovery yet consistently underperforms against immunotherapy t...

Histopathology-guided multimodal pathomics identifies a PLEKHA6-positive epithelial state associated with phosphoinositide metabolism in esophageal cancer.

Esophageal cancer is biologically heterogeneous, and conventional clinicopathological staging incompletely captures variation in patient outcomes. Thi...

Rational drug design for Alzheimer's disease: from approved therapies to next-generation clinical candidates and AI-guided innovation.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by multifactorial pathology, including amyloid-β (Aβ) aggregation, ...