Colon Cancer

Neoadjuvant Radiation is Causally Linked to Increased Operative Time and Perioperative Blood Transfusion in Pancreatic Ductal Adenocarcinoma.

INTRODUCTION: Blood transfusion in patients undergoing surgical resection for pancreatic ductal adenocarcinoma (PDAC) is associated with worse outcomes. As the treatment paradigm shifts toward neoadjuvant therapy, little is known about how this may influence perioperative blood transfusion. MATERIALS AND METHODS: The American College of Surgeons National Surgical Quality Improvement Program (ACS-N...

Histopathological diagnosis of Ovine Pulmonary Adenocarcinoma (OPA) based on ensemble model.

ASO Visual Abstract: CT-Based Prediction of Visceral Pleural Invasion in Lung Adenocarcinoma ≤ 3 cm: Enhancing Deep Learning Specificity by Waiving Chest Wall Information.

Concurrent driver mutations induce distinct tumour morphologies on radiological imaging.

BACKGROUND: Most radiogenomic studies examine single driver mutations in isolation, despite evidence that co-occurring driver alterations are common a...

[AI and clinical reasoning : between promises and the risks of "deskilling"].

The rise of AI in healthcare offers major potential for diagnosis and learning but also exposes to a worrying risk of "deskilling." Recent data from c...

Letter Regarding "Artificial Intelligence Model for Automated Identification of Bowel Preparation for Colonoscopy (AI-PREPOO): A Multicenter Study".

Clinical-grade autonomous cytopathology through whole-slide edge tomography.

Cytopathology, often abbreviated as cytology, has a central role in the early detection of cancer, such as cervical, lung and bladder cancers, owing t...

Artificial intelligence application in routine pathology: ChatGPT-4.0 and Gemini 2.5 pro performance in detection of MMR-deficiency in colorectal cancer.

PURPOSE: Immunohistochemistry (IHC) is a crucial step in the diagnostic and therapeutic management of colorectal carcinoma (CRC). This study aimed to ...

Systemic immunometabolic profiling classifies cisplatin sensitivity states using interpretable machine learning.

Cisplatin resistance limits the effectiveness of platinum-based chemotherapy for lung adenocarcinoma, yet practical systemic diagnostics for cisplatin...

AI-Enhanced Vibrational Capsule for Minimally Invasive Detection of Abnormal Bowel Tissue.

Colorectal cancer remains one of the leading causes of cancer mortality, and its prognosis is strongly dependent on early detection. Conventional diag...

Radiomics for early detection of pancreatic cancer: a systematic review and meta-analysis.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the lethal malignancies, in which accurate and faster detection is required in high-risk...

Exploratory identification of COL1A1 as a potential gene linking endocrine-disrupting chemicals and lung adenocarcinoma: a bioinformatics and machine learning analysis.

BACKGROUND: Endocrine-disrupting chemicals (EDCs) are common environmental pollutants that affect human health. These chemicals have been linked to th...

Deep-Learning Tool ScVital Enables Species-Agnostic Integration of Cancer Cell States.

UNLABELLED: Genetically engineered mouse models (GEMM) of cancer are useful for exploring the development and biological composition of human tumors. ...

CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

UNLABELLED: Single-cell RNA sequencing facilitates the discovery of gene expression signatures that define cell states across patients, which could be...

Small-bowel capsule endoscopy - from clinic to couch: time to go green?

PURPOSE OF REVIEW: Small-bowel capsule endoscopy (SBCE) has transformed small-intestine diagnostics by enabling direct, noninvasive mucosal visualizat...

Utilisation of intramuscular and intermuscular fat to develop a new skeletal muscle grading score which can predict treatment outcomes for locally advanced rectal cancer.

BACKGROUND: Sarcopenia has been widely studied in rectal cancer with increasing evidence to suggest that other body composition parameters, in particu...

Deep learning in lower gastrointestinal cancer detection: Advances in endoscopic, radiologic, and histopathologic diagnostics.

Gastrointestinal (GI) cancers, particularly colorectal cancer, continue to be a major contributor to global cancer-related morbidity and mortality. De...

Toward Timely Diagnosis of Pancreatic Cancer: Revolutionizing Early Detection Through Genomics, Artificial Intelligence, and Noninvasive Biomarkers.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive cancers, typically diagnosed at an advanced stage due to its su...

Peripheral immune landscape in pancreatic ductal adenocarcinoma reveals expansion of effector states with disease progression.

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy often diagnosed late due to the limited sensitivity and specificity of current m...

The emerging role of machine learning-based methods in cancer classification using microRNA.

Early detection and accurate classification of cancer are crucial to improving patient outcomes. Diagnosis and classification of tumors using conventi...