An innovative solution based on nanotechnology and ultrasound could prevent over-treatment of patients with rectal cancer. The magnetomotive ultrasound system uses nanotechnology for reliable diagnosis of any spread of rectal cancer to nearby lymph nodes.
Researchers from Finland have developed an artificial intelligence tool for automatic colorectal cancer tissue analysis that outperforms prior methods.
For the first time, researchers show that AI-based predictions can deliver comparable results to clinical tests on biopsies of patients with colorectal cancer (CRC).
A mystery which has stumped bowel cancer researchers for decades, has been solved by scientists at the Cancer Research UK Beatson Institute and University of Glasgow.
Scientists from the University of Edinburgh have found that the accuracy of detecting bowel cancer is increased to almost 100% by carrying out a common test twice rather than once.
A new artificial intelligence model could bring much-needed clarity to doctors delivering prognoses and deciding on treatments for patients with colorectal cancer.
In a nationwide Swedish study of 207 births to women with an earlier diagnosis of colorectal cancer (CRC), researchers found an increased risk of both maternal and neonatal adverse outcomes.
In a promising study, Canadian researchers have shown for the first time in mice that modifying intestinal flora before surgery could reduce postoperative complications in colorectal cancer patients.
Immunotherapy prior to surgery is surprisingly effective for patients with a certain type of colorectal cancer (dMMR/MSI-H CRC). These new study results contrast current treatment regimens.
Researchers have now found that artificial intelligence (AI) can improve the effectiveness of colonoscopy in the presence of Lynch syndrome.
Researchers in Barcelona discovered the population of residual tumour cells responsible for the recurrence of colorectal cancer in other organs after removal of the primary tumour.
Colorectal cancer is one of the most common cancers. A team from the University of Geneva has found an alternative for patients who have developed resistance to chemotherapy treatments.
Artificial intelligence (AI) is increasing its foothold in endoscopy. Although the algorithms often detect pathologies faster than humans, their use also generates new problems. PD Dr Alexander Hann from the University Hospital Würzburg points out that the use of AI helpers can affect not only the reporting of findings – but also the person making the findings.
A randomized study shows colonoscopy screening reduces the risk of colorectal cancer by 18 percent. The reduction is much smaller than experts previously assumed.
New research suggests that providing a break in treatment to patients with advanced bowel cancer could not only benefit a patient’s quality of life but could also help reduce costs.
A new AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
Colonoscopies performed with AI support may yield an increase in the overall rate of detection of adenoma, or cancerous and precancerous polyps, by 27% in average-risk patients, according to new data.
More than 70% of patients with bowel cancer are not diagnosed using screening programmes meaning diagnoses are often made late, when the cancer is at an advanced stage, according to new research.
The number of colorectal cancer (CRC) cases diagnosed fell dramatically by 40% in a year during the Covid-19 pandemic, new research presented at United European Gastroenterology (UEG) Week Virtual 2021 has shown. The research, which was conducted across multiple hospitals in Spain, compared data from the first year of the Covid-19 pandemic with data from the previous year. Of 1,385 cases of CRC…
