Abstract
Gastrointestinal (GI) cancer remains one of the most deadly and common types of cancer worldwide. The early detection of GI cancer contributes to designing more efficient treatment algorithms and therefore reduction in mortality rates. The present study aimed to introduce and evaluate a non-invasive and sensitive technique, able to distinguish between normal and GI cancer samples. The recommended assay is based on the synergy of molecular biology with artificial neural networks.
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