Teaching computers how to read and understand biomedical publications for cause and effect relationships is a challenging task. This is especially true for it might not be intuitive what we mean by "read" and "understand".
Every month we process more than 100,000 scientific documents. New knowledge is emerging every month across thousands of scientific disciplines
Rapid search for causes of anxiety at super human speed using the Causaly machine-reading platform
Causaly Inc., an AI for Biomedical cause & effect discovery, announces today the completion of a $1m seed round led by Marathon Venture Capital.