To include clinical data from multiple sources (reports, histories, notes, guides or trials) in a single Knowledge Graph, allows Semantic AI to find complex patterns between different concepts. For example, knowing if a certain combination of drugs influences a pathology’s incidence and in relation to certain patient’s characteristics. Semantic AI finds patterns even if they are not present in the original documentation. These patterns emerge from the combination of the whole knowledge, thanks to shadow concepts and third parties’ relationships that appear when generating the Knowledge Graph
