Abstract: The presentation will cover three uses that show how information management workers and data scientists can employ Causaly’s knowledge graph to answer questions related to treatment landscapes, disease pathophysiology and target identification/validation and more. Unlike some statistical approaches, such as word co-occurrence, Causaly’s algorithms identify the directionality of entity relationships through the lexico-syntactic analysis of free text from over 30 million scientific publications.
Bio: A multilingual global resident. Graduated in Genetics from Queen Mary and Westfield, University of London, and most recently from Singularity University. His professional work involves helping innovation technologies grow their business globally in the life sciences market. His philanthropy work is mostly focused on bringing exponential technologies in health and education to less privileged regions of the world.