Other Cancers

Explainable machine learning integrating metabolic and inflammatory signatures for personalized prognosis in resected intrahepatic cholangiocarcinoma.

BACKGROUND: The precise prognostic stratification of intrahepatic cholangiocarcinoma (iCCA) remains challenging. We aimed to develop and validate interpretable machine learning (ML) models that integrate clinicopathological, metabolic, and immune-inflammatory factors to personalize prognosis prediction. METHODS: We retrospectively collected data from 690 iCCA patients across five centers. Patients...

Scalable Quantum Non-Local Neural Network Optimized with Tyrannosaurus Algorithm for Brain tumor Detection using MRI Images.

Early and reliable detection of brain tumors from magnetic resonance imaging (MRI) is essential for timely clinical diagnosis and treatment planning. However, automated tumor detection continues to be challenging due to the heterogeneous nature of tumors, the complexity of brain structures, the presence of noise in MRI images, and the limitations of existing deep learning models in effectively cap...

Multiscale analysis and optimal glioma therapeutic candidate discovery using the CANDO platform.

Glioma is a highly malignant brain tumor with limited treatment options. We employed the Computational Analysis of Novel Drug Opportunities (CANDO) pl...

Wooden-Tip Electrospray Ionization Mass Spectrometry Combined With Machine Learning for Differentiating Thyroid Tumours.

Direct mass spectrometry (MS) analysis of human tissues at the molecular level has great potential for clinical diagnosis and biomarker discovery. How...

Generative deep learning-driven de novo design of targeted MAP4K6 inhibitors.

The discovery of selective small-molecule inhibitors for pharmacologically underexplored kinases remains a critical barrier to precision drug developm...

Pathology-Anchored Transcranial Sonography: A Cascaded Super-Resolution Deep Learning System for Early-Stage Parkinson's Disease Grading.

Delayed diagnosis of Parkinson's disease (PD) due to undetectable early pathological changes remains a major clinical challenge limiting effective tre...

Deep learning-based automated masseter muscle area on routine CT stratifies survival in oral cancer.

OBJECTIVES: To develop and validate a deep learning model for automated masseter muscle segmentation on routine head and neck CT and to evaluate wheth...

Smart hydrogels for overcoming cancer multidrug resistance.

Multidrug resistance (MDR) remains the principal impediment to curative oncology, driven by complex interplays between cancer cells and the tumor micr...

Baseline pain, fatigue, and sleep quality predict 12-week pain improvement in inflammatory arthritis: retrospective real-world analysis of a digital health application cohort.

UNLABELLED: Despite advances in pharmacotherapy, many patients with inflammatory arthritis (IA) experience residual pain even in remission. Digital he...

Clinical relevance of the characterisation and quantification of CD8+ T-cell infiltration in high-grade serous ovarian carcinoma using machine learning-based image analysis of dual immunostaining.

INTRODUCTION: High-grade serous carcinoma (HGSC) is the most common and aggressive subtype of ovarian cancer. Although tumour stage and complete cytor...

Artificial Intelligence Across the PSMA Theranostic Continuum in Prostate Cancer.

Prostate cancer is among the most common male malignancies worldwide, with recent advances in molecular imaging and targeted radiopharmaceutical thera...

Regulatory B cells and SIVA1-LAG3 immune suppression predict poor prognosis in prostate cancer.

Prostate cancer (PCa) is among the most prevalent malignancies affecting men globally. The immunosuppressive characteristics of the tumor microenviron...

Challenges and Controversies in the Diagnosis and Management of Thymic Epithelial Tumors from the Thymic Tumor Subcommittee of the International Association for the Study of Lung Cancer Rare Tumors Committee.

Thymic epithelial tumors (TETs), comprising thymomas, thymic carcinomas, and thymic neuroendocrine neoplasms, are rare prevascular (anterior) mediasti...

Multigated DNA Cascade Amplifier for Ultrasensitive Spatiotemporal Imaging of PLS3 mRNA at the Single-Cell Level for Early Detection of Breast Cancer Metastasis.

Early detection of small metastatic foci is crucial for improving breast cancer patient survival. Plastin-3 (PLS3) has emerged as a key biomarker in b...

Ultrasound Radiomics for Hashimoto's Thyroiditis: State of the Art and Future Perspectives.

Ultrasound radiomics is gradually emerging as a powerful tool for improving the diagnosis and management of Hashimoto's thyroiditis (HT), effectively ...

How Hospice and Palliative Care Are Portrayed in Artificial Intelligence-Generated Images: A Content Analysis.

BACKGROUND: AI-generated images can support or impede health communication efforts and influence perceptions of health-related topics, making it impor...

Deepath-SCC: a deep learning model for accurate tissue origin identification in squamous cell carcinoma.

Squamous cell carcinoma (SCC) is a common malignancy that arises in diverse organs and often exhibits overlapping histological and immunophenotypic fe...

Deep learning-based pathomics signature predicts prognosis and treatment response in gastric cancer: a multicenter retrospective study.

The existing TNM staging system provides insufficient prognostic information in gastric cancer (GC) patients. This study aims to establish a pathomics...

Comprehensive Assessment of Artificial Intelligence as a Stand-alone tool for Cervical Cancer Screening Using a 50% Negative Cutoff Value.

PURPOSE: An emerging application of artificial intelligence (AI) in cervical cytology is its use as an independent screener for triaging cases that do...

Efferocytosis-related biomarkers and immune infiltration in pancreatic ductal adenocarcinoma based on single-cell sequencing and machine learning: a comprehensive bioinformatics analysis and experimental validation.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly invasive and lethal malignancy, with its complex tumor microenvironment (TME) severely...