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: Stavroula is a molecular biologist-geneticist, with a PhD in immuno-oncology. Stavroula spent 13 years working in academia mainly on translational research focusing on leukemia pathophysiology and biomarker discovery. Joined Causaly in 2020, and since then enjoys working with Causaly users and help them accelerate their research.
