The Application of NLP and AI to Uncover Evidence from Scientific Literature

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.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google