Semantic Hub helps the Experts of R&D departments in pharmaceutical companies to significantly accelerate the identification of promising developments (e.g. new targets, molecules, combinations, delivery systems) based on the semantic analysis of “big text data”. We provide knowledge extraction on drug candidates from a variety of information sources (papers, posters, patents, clinical trial results, news, etc.) according to our customers’ criteria, and the automated qualification and evaluation of candidates based on success and risk factors.
We provide automated scanning of Internet and databases (millions of documents), as well as the deep semantic analysis of the relevant scientific papers, conference posters, clinical trial results, press releases, and so on (thousands of documents). It helps our clients get the funnel of qualified leads and to reject candidates which show signs of a dead end.