Automatic validation and enrichment of semantic relations between medical entities for drug discovery

Abstract

Embodiments of the present systems and methods may provide techniques that provide enrichment of semantic graphing with relations that can enable a higher resolution of the semantic relationships and enable a more accurate prediction of new relations in the graph. For example a method for drug discovery and drug repositioning may comprise generating semantic relationships, at the computer system, based on data relating to a plurality of aspects of drugs and pharmaceutical compounds, generated semantic relationships represented in the form of a semantic graph, learning, at the computer system, new relations among the semantic relationships in the semantic graph using Denoising Autoencoders to process the semantic graph, and generating, at the computer system, predictions for drug discovery and drug repositioning based on the semantic relationships, including the newly found relations.