Deep Learning Method Detects Disease Biomarkers

Researchers at the University of Waterloo have developed a deep learning network that can detect disease biomarkers with a high degree of accuracy. It achieves 98 percent detection of peptide features in a dataset, which means scientists and medical experts would have a greater chance at discovering possible diseases through tissue sample analysis.