European review for medical and pharmacological sciences
Feb 1, 2020
OBJECTIVE: The morbidity and mortality of patients with colorectal cancer, one of the most common malignant tumors worldwide, is steadily increasing. The aim of this study was to investigate the association between prognostic immune-related gene prof...
BACKGROUND: Improved markers of prognosis are needed to stratify patients with early-stage colorectal cancer to refine selection of adjuvant therapy. The aim of the present study was to develop a biomarker of patient outcome after primary colorectal ...
Recently, an increasing number of biological and clinical reports have demonstrated that imbalance of microbial community has the ability to play important roles among several complex diseases concerning human health. Having a good knowledge of disco...
The American journal of gastroenterology
Jan 1, 2020
OBJECTIVES: Reliable in situ diagnosis of diminutive (≤5 mm) colorectal polyps could allow for "resect and discard" and "diagnose and leave" strategies, resulting in $1 billion cost savings per year in the United States alone. Current methodologies h...
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
We report 18 cases of colorectalcancer in patients aged over 90 years who received surgicaltreatment . Except for 2 patients who had StageⅣ colorectal cancer, all patients underwent R0 colorectal resection. The mean operation time, blood loss, and le...
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
After approximately 2.5 years of chemotherapy at the referred hospital, a 69-year-old man with double colon cancer and unresectable liver metastases(H3)sought consultation. A total of 8 liver metastases were deemed resectable; however, the disease wa...
Studies in health technology and informatics
Aug 21, 2019
We aimed to develop a deep learning model for the prediction of the risk of advanced colorectal cancer in Taiwanese adults. We collected data of 58152 patients from the Taiwan National Health Insurance database from 1999 to 2013. All patients' comorb...
PURPOSE: Dynamic network models predict clinical prognosis and inform therapeutic intervention by elucidating disease-driven aberrations at the systems level. However, the personalization of model predictions requires the profiling of multiple model ...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.