Colon Cancer

Unraveling the Multifunctional and Translational Paradigm of Nanoparticulate Systems against Colorectal Cancer.

Colorectal cancer (CRC) is a health burden due to its high mortality rate, recurrence rate, and drug resistance. The limitations of traditional methodologies (such as radiotherapy, chemotherapy, surgery, and targeted active ingredients) include inefficient delivery to tumor tissue, systemic toxicity, drug resistance, and poor specificity. Hence, drug delivery through micro- and nanoparticulate sys...

PancDS in Real-World Practice: A Prospective Multicenter Validation of a Clinical Decision-Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis.

Distinguishing pancreatic ductal adenocarcinoma (PDAC) from mass-forming pancreatitis (MFP) is challenging due to imaging mimicry and reader-dependent variability. PancDS is developed as a biomimetic pancreatic decision-support system that integrates clinical predictors, a radiomics signature, and self-developed deep features (PANet). PancDS is enabled by TriFusionNet, an adaptive fusion strategy ...

Integrated assessment of developmental toxicity of antibiotic pollutants: Machine learning prediction, zebrafish validation, and network toxicology.

Developmental toxicity induced by environmental pollutants, particularly antibiotics, is often insidious and underestimated due to bioaccumulation and...

Interpretable multitask model for clinical pathology image prediction and interpretation.

Deep learning (DL)-based pathological image modelling and analysis approaches offer transformative potential for early cancer diagnostics, yet limited...

Artificial intelligence-assisted integrated care to promote colonoscopy uptake (AICC) in China: study protocol for a cluster randomized controlled trial.

BACKGROUND: Colorectal cancer (CRC) leads to heavy disease and economic burdens globally. Early screening such as colonoscopy has been demonstrated to...

Synthetic Inducible Bacteria Normalize the Microenvironment of Refractory Tumors, Potentiating Checkpoint Inhibitor Responses.

Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely due to the immunosuppressive tumor microenvironme...

Peptides as integrative modulators for clinical prognosis and targeted therapy in pancreatic cancer.

Pancreatic cancer remains a formidable global health challenge, ranking as the twelfth most common malignancy yet claiming an outsized toll with disma...

Diverse image generation with diffusion models and cross class label learning for polyp classification.

Pathologic diagnosis is a critical phase in deciding the optimal treatment procedure for dealing with colorectal cancer (CRC). Colonic polyps, precurs...

Distilling Knowledge in Gastroenterology: An Artificial Intelligence System for Assisting Colonoscopy and Pathology Report Review.

OBJECTIVE: To develop an efficient and domain-adapted system to process colonoscopy and pathology reports using knowledge distillation techniques. PAT...

Integrative multi-omics analysis identifies a core ferroptosis signature and validates resveratrol as a novel inducer in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis due to treatment resistance and an immunosuppressive, fibrotic microenvironment. Ferrop...

Use of artificial intelligence in analysis of endoscopic images to detect residual disease or regrowth in rectal patients with complete clinical response to neoadjuvant chemoradiotherapy.

BACKGROUND: Patients with rectal cancer who have a complete clinical response (cCR) to neoadjuvant chemo/radiotherapy (nCRT) may opt for organ preserv...

Development and validation of multivariable prognostic machine learning models to identify patients at risk for inadequate bowel preparation when undergoing colonoscopy: a prospective, multicentre study.

OBJECTIVE: Inadequate bowel preparation impairs the accuracy of colonoscopy and increases the burden on patients and healthcare systems. Consequently,...

The role of artificial intelligence in adenoma detection during colonoscopy: a systematic review and meta-analysis of randomized controlled trials-Artificial intelligence and adenoma detection.

BACKGROUND: Colonoscopy is the gold standard for colorectal cancer screening; however, it is limited by a substantial adenoma miss rate. We aimed to p...

Deep learning-based CT radiomics for ALK rearrangement status prediction in lung adenocarcinoma.

BACKGROUND: Current clinical guidelines mandate routine evaluation of anaplastic lymphoma kinase (ALK) rearrangement in lung adenocarcinoma prior to A...

SCRIPT: Stratified clinical risk prediction from pathology reports using large language models.

BACKGROUND: Accurate risk stratification in oncology is essential for guiding treatment decisions, yet current algorithms rely on a narrow set of stru...

Deep residual network fusing CT images and clinical variables to predict lung adenocarcinoma aggressiveness.

BACKGROUND: Lung adenocarcinoma presenting as ground-glass nodules (GGNs) comprises three invasive subtypes (adenocarcinoma in situ [AIS], minimally i...

Video-based assessment tool for workflow analysis in minimally invasive colorectal surgery: expert consensus-based development and multicentre validation of ColoWorkflow.

BACKGROUND: Minimally invasive colorectal surgery is characterized by significant procedural variability, a difficult learning curve, and complication...

Artificial Intelligence for Colorectal Surgeons - Part II: Research Applications, Challenges in Adoption and Practical Resources.

BACKGROUND: This is Part II of a two-part series examining artificial intelligence (AI) in colorectal surgery. Part I established foundational concept...

Integrative Bioinformatics, Experimental Validation, and Interpretable Machine Learning Reveal Oxyresveratrol-Mediated Protection Against Cadmium-Induced Lung Adenocarcinoma-Related Transcriptional Dysregulation.

Cadmium (Cd) is a toxic heavy metal strongly implicated in lung adenocarcinoma (LUAD) through mechanisms involving oxidative stress, epigenetic dysreg...

Deep Learning Framework for Early Detection of Pancreatic Cancer Using Multi-modal Medical Imaging Analysis.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal forms of cancer, with a five-year survival rate below 10% primarily due to late...