Study design and methods We developed an artificial intelligence (AI) model for real-time assessment of endoscopic video images of colorectal polyps. A deep convolutional neural network model was used ...

Learn how mass spectrometry and data analysis workflows are driving deeper insights into colorectal cancer through ...

Contributed by Hans Clevers, June 21, 2020 (sent for review February 28, 2020; reviewed by Niko Beerenwinkel and Marek Kimmel) ...

A newly developed scoring system could enhance risk prediction and guide treatment decisions for colorectal cancer, according ...

A novel machine learning model enhances colorectal cancer (CRC) prognosis and immunotherapy response prediction by ...

Irritable bowel syndrome (IBS) and colon cancer symptoms can look alike. However, unlike IBS, colon cancer may cause bloody stool, fatigue, and unexplained weight loss, among other unique symptoms.

Association of KRAS and BRAF mutations with progression-free survival (PFS) with second-line FOLFIRI +/- regorafenib in metastatic colorectal cancer (mCRC). This is an ASCO Meeting Abstract from the ...

Researchers have found gut biomarkers that could help detect gastric cancer, colorectal cancer, and IBD early—offering a faster, less invasive diagnosis using AI analysis.

Potential Mediators of Oxaliplatin-Induced Peripheral Neuropathy From Adjuvant Therapy in Stage III Colon Cancer: Findings From CALGB (Alliance)/SWOG 80702 This multifactorial risk prediction model is ...

Scientists have discovered a range of "biomarkers" that could help to improve detection and treatment of gastrointestinal ...

Scientists have discovered a range of 'biomarkers' that could help to improve detection and treatment of gastrointestinal ...