Colon Cancer

Enhancing anatomical recognition by surgeons during pelvic lymph node dissection using artificial intelligence.

The lateral pelvis is a critical anatomical region in colorectal, gynecological, and urological surgeries. However, its anatomical complexity and variability pose significant challenges for pelvic lymph node dissection (PLND). This study aimed to develop an artificial intelligence (AI) model to identify key anatomical structures relevant to PLND and evaluate whether AI assistance enhances surgeons...

European Cancer Prevention Organization on cancer screening: an expert panel position paper.

BACKGROUND: Cancer screening is a cornerstone of cancer control in Europe yet marked disparities persist in access, implementation, and quality assurance among national or regional programs. Building on the EU Council's 2022 recommendations and the European Union's Beating Cancer Plan, the European Consensus Project (ECP) was established to provide harmonized, evidence-based recommendations for ma...

Integrating stemness and epithelial-mesenchymal transition signatures with machine learning identifies RUNX1 as a therapeutic vulnerability in colorectal cancer.

Colorectal cancer (CC) arises from a complex interplay between genetic and epigenetic alterations within the colorectal mucosa, resulting in unchecked...

A cloud-edge adaptive lightweight network with dynamic inference enables real-time ultrasound image segmentation.

Ultrasound image segmentation plays an important role in clinical diagnosis, but existing deep learning methods struggle to balance accuracy and effic...

Benchmarking docking and ML re-scoring screening performance for KRAS G12D in pancreatic cancer.

The KRAS G12D mutation is commonly found in pancreatic cancer and is integral to the cell signaling pathway, making it a critical target for drug deve...

Simulating the Dedifferentiation Process of Thyroid Cancer: Insights from Mouse Models and Ultrasound Imaging.

RATIONALE AND OBJECTIVE: Anaplastic thyroid carcinoma (ATC) may arise from the progression of differentiated thyroid cancers, but the mechanisms are n...

Elucidating the pathway activity and prognostic significance of diverse regulatory cell death patterns in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a five-year survival rate below 10%. Regulatory cell death (RCD) plays ...

Pan-cancer analysis identifies immunoproteasome as the predominant survival-associated component of antigen processing machinery.

Neoantigens are critical targets for cancer immunotherapy, yet the relationship between experimentally validated neoantigen burden and antigen process...

Robotic versus Laparoscopic Colectomy for Cancer.

Minimally invasive colon and rectal surgery provides oncologic outcomes at least equivalent to open surgery with a multitude of benefits. While laparo...

The Addition of Computer-Aided Detection (CADe) to Texture and Color Enhancement Imaging (TXI) Does Not Improve Adenoma Detection Rate During Colonoscopy: A Prospective Study.

OBJECTIVES: Early detection and resection of colorectal polyps prevent their progression toward advanced adenocarcinomas. The use of Texture and Color...

The Cancer Metallome Continuum: A Framework for Understanding Metal Dysregulation from Carcinogenesis to Therapeutic Resistance.

Metals and metalloids play essential roles in cancer biology, influencing redox balance, epigenetic regulation, immune responses, and cell death throu...

Transvaginal ultrasound-based radiomics and integrated clinical indicators via multimodal deep learning for prediction of endometrial polyp recurrence after hysteroscopic surgery.

OBJECTIVES: To evaluate a multimodal deep learning model integrating preoperative transvaginal ultrasound (TVUS)-based radiomics features and clinical...

[Computational medicine empowers multi-dimensional diagnosis and treatment of pancreatic cancer].

Due to its high genomic heterogeneity and dense desmoplastic microenvironment, traditional diagnosis and treatment for pancreatic ductal adenocarcinom...

[Colorectal cancer diagnosis method based on dynamic gland-aware and tissue soft-clustering].

In colorectal cancer histopathology, the collaborative perception of microscopic and salient lesions is critical for effective diagnosis and improved ...

Review Article: Advances in the Diagnosis of Dysplasia in Barrett's Oesophagus.

BACKGROUND: Barrett's oesophagus (BE), the precursor to oesophageal adenocarcinoma, progresses through a stepwise dysplastic sequence. Accurate dyspla...

State-of-the-art TinyML approaches for colorectal cancer detection: Current advances, challenges, and future directions.

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with diagnostic disparities, particularly pronounced in resourc...

AI-driven discovery of GPNMB CAR T cells as a multi-cancer therapy.

Chimeric antigen receptor (CAR) T cells have demonstrated curative potential in hematologic cancers and increasing efficacy in solid tumors and non-ma...

Implementation of a prospective video databank for artificial intelligence model development, validation and clinical outcomes research in gastrointestinal endoscopy.

BACKGROUND AND AIMS: High-quality, annotated datasets are fundamental to clinical research and artificial intelligence (AI) model development. Existin...

A prediction model based on tumor immune microenvironment for immunotherapy response in gastric cancer.

This study aimed to develop a robust prediction model- using machine-learning algorithms based on the core indicators of the tumor immune microenviron...

Development and evaluation of an explainable machine learning selection pipeline for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer.

BACKGROUND: The selection of appropriate machine learning (ML) methods for clinical research remains challenging, particularly when both predictive pe...