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Computers are essential in our daily lives.  They are in our smartphones, in our cars, and even integrated in some people’s homes.  Computers are also essential to research yet the different ways in which computers can automate or speed up research have not been explored fully.  Researchers are publishing their experimental results faster than ever before, and the number of articles to read on a single subject now presents an overwhelming task.  In the field of computer science, Natural Language Processing (NLP) approaches can automate the extraction of data, or entities, from articles, which can make the cataloguing of entities much more efficient and enable the discovery of new relationships between entities.  Applying these approaches to the medical field could drastically speed up the drug discovery process.  Nanotechnology based medicines, or nanomedicines, can revolutionize the way we diagnose and treat diseases.  Our ability to control matter at the nanoscale, which is 50 thousand times smaller than the diameter of a single strand of hair, opens new possibilities for targeted and personalized medicine.  In order to fully harness the potential of nanomedicine, we need an automated system to collect and enter data on nanomedicines into databases for researchers to use.  The goal of this project is to create a system that automatically identifies nanomedicines and their associated properties.

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