Saliva, artificial intelligence analysis of biomarkers may predict esophageal cancer risk

SAN DIEGO —  Researchers used analysis of saliva, a cross-section of data from a patient questionnaire and an artificial intelligence analysis tool to develop a tool to predict risk in esophageal cancer, according to findings presented at Digestive Disease Week 2016. David G. Graham, MD, of the Jerusalem College of Technology in Israel, and colleagues, aimed to develop an accurate risk prediction tool for assessing esophageal cancer risk. They used salivary transcriptomic data along with factors related to patient demographics, symptoms and risk factors. “A novel, non-invasive tool is required,” he said. He noted that extracellular RNAs in body fluids are emerging as potential biomarkers for detecting this disease. The study included 80 patients from whom RNA was extracted from the saliva. Twenty patients of this cohort were healthy controls, while 20…


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