Other Cancers

Multidimensional immune ecological subtyping identifies RUNX1 as a prognostic factor in uveal melanoma.

Uveal melanoma (UVM) is an aggressive intraocular malignancy with a high risk of metastasis but few effective therapies. However, current molecular classification systems do not completely reflect the immune-stromal interactions underlying tumor progression and immune dysfunction. Therefore, we aimed to establish a multidimensional immune ecological framework for UVM by integrating bulk and single...

Improving predicted risk of recurrence using molecular profiling in papillary thyroid cancer.

Molecular testing can refine the prediction of cancer recurrence. We sought to compare patterns of gene expression in patients with and without recurrence of well-differentiated thyroid cancer to identify pathways associated with recurrence and develop a predictive model based on gene expression. RNA was extracted and sequenced from archival tumor samples of patients well-differentiated thyroid ca...

Non-invasive profiling of the tumour microenvironment with spatial ecotypes.

Multicellular programs in the tumour microenvironment (TME) drive cancer pathogenesis and response to therapy but remain challenging to identify and p...

A network medicine framework for multi-modal data integration in therapeutic target discovery.

The high cost and attrition rate of drug development underscore the need for more effective strategies for therapeutic target discovery. Here, we pres...

Focused Ultrasound in Brain Tumors: Mechanisms, Imaging Guidance, and Emerging Clinical Applications.

Focused ultrasound (FUS) is an emerging therapeutic and diagnostic technology in neuro-oncology, offering new strategies for molecular diagnosis, drug...

Precision animal models of tumors: Advances, challenges and clinical translation.

Preclinical immunotherapy research relies heavily on animal tumor models, which can be broadly classified into four categories: genetically engineered...

CellFuse enables Multi-modal Integration of Single-cell and Spatial Proteomics Data for Systems-level Analysis in Cancer.

Analysis of tumors using single-cell and spatial modalities is critical to advance our understanding of cancer. The growth of technologies that enable...

A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation.

This article presents a robust and efficient framework for brain tumor segmentation based on deep learning. We introduce a novel three-dimensional (3D...

The density of tumour infiltrating lymphocytes in oesophago-gastric cancer varies with disease stage, geographical region and treatment: a post hoc analysis of nine phase III clinical trials.

BACKGROUND: Tumour infiltrating lymphocytes (TILs) are a key component of the tumour microenvironment. To establish a clinically relevant TILs cut-off...

Development and validation of a machine learning model to predict recurrence in polypoidal choroidal vasculopathy: a multicentre prospective study.

AIM: This study aims to develop and validate machine learning models for predicting recurrence in polypoidal choroidal vasculopathy (PCV) patients usi...

Comprehensive evaluation of cross cancer generalization in histopathology segmentation models across 21 tumor types.

BACKGROUND: Artificial intelligence has significantly advanced computational pathology by enabling high-resolution, clinical-grade tumor segmentation ...

Pancreatic tumor detection in computed tomography images through a rotary positional siamese vision transformer.

Vision Transformers (ViTs) are one of the powerful tools in medical imaging, providing new possibilities for pancreatic cancer diagnosis. In recent ye...

Prediction of tumor regression grading in rectal cancer neoadjuvant chemoradiotherapy: a habitat radiomics analysis of imaging biomarker.

BACKGROUND: Tumor regression grading (TRG) is a core prognostic predictor of treatment outcomes in rectal cancer. Conventional TRG assessment methods ...

Construction of a risk scoring model based on machine learning and validation of the role of the key gene SERPINE1 in the progression of colon cancer.

BACKGROUND AND OBJECTIVE: Colon cancer (CC) is a highly prevalent malignant tumor with a high mortality rate worldwide. Despite recent advancements in...

A systematic review and meta-analysis of medical image-based artificial intelligence models for predicting metastasis in ovarian cancer.

OBJECTIVE: To conduct a systematic review and meta-analysis evaluating the diagnostic performance of medical image-based artificial intelligence (AI) ...

Relational-temporal dignity at the end of life: Ethical foundations for the DiRePal model in the algorithmic age.

OBJECTIVES: The increasing presence of artificial intelligence (AI), electronic patient-reported outcomes (ePROMs), and digital infrastructures in pal...

Physician Perspectives on ChatGPT-4o as a Patient Resource for Abdominal Cancer Surgeries: Cross-Sectional Survey.

BACKGROUND: Artificial intelligence (AI) models are being increasingly integrated into clinical care. Moreover, the availability of publicly accessibl...

Artificial intelligence-powered H&E-based quantification of spatial tumor-infiltrating lymphocyte distribution identifies prognostic immune niches in colorectal cancer.

PURPOSE: The prognostic significance of tumor-infiltrating lymphocytes (TILs) in colorectal cancer (CRC) is well established; however, existing approa...

Multimodal deep learning model for multiclass classification of renal tumors.

Accurate classification of renal masses before treatment is crucial for therapeutic decision-making and patient outcome. This study developed and vali...

Development and validation of a real-time AI model for differentiating benign and malignant gastric ulcers : a multicenter retrospective study.

AIM: To develop and validate a deep learning-based AI system for the dynamic, real-time differentiation of benign and malignant gastric ulcers during ...