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Predicting cancer spread with natural language processing

Predicting cancer spread with natural language processing

Gathering data from CT scans can be labour intensive and exhaust health care resources. Queen’s researchers Amber Simpson and Farhana Zulkernine along with radiologist Richard Do (Memorial Sloan Kettering Cancer Center, New York) are developing technology that will relieve these issues, as well as predict how cancer will spread in patients, using natural language processing.

Natural language processing (NLP) is used to program computers to process and analyze large amounts of language data from interactions between humans and computers. Dr. Simpson (School of Computing; Biomedical and Molecular Sciences) and Dr. Zulkernine (School of Computing) have leveraged the data scraping abilities of NLP, applying the technology to CT scans to predict where cancer could spread.

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