=Paper=
{{Paper
|id=Vol-1747/BT201_ICBO2016
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1747/BT201_ICBO2016.pdf
|volume=Vol-1747
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1747/BT201_ICBO2016.pdf</pdf>
<pre>
       Text mining to enable routine personalized
                    cancer therapy
                                                               Hua Xu
                                         University of Texas Health Science Center
                                                    Houston, TX, USA


    Abstract—Genomic profiling information is                           molecular effects of drugs in biomedical literature, and
frequently available to oncologists, enabling targeted                  2) to create a knowledge base of cancer treatment trials
cancer therapy. Because clinically relevant genomic                     with annotations about genetic alterations. We believe
information is rapidly emerging in narrative data                       such tools would be valuable for physicians and patients
sources such as biomedical literature and clinical trials               who are seeking information about personalized cancer
documents, there is a need for text mining technologies                 therapy, thus facilitating their decision making.
to support targeted therapies. In this talk, we will present                Keywords— text mining; NLP; precision medicine
two projects about developing text-mining tools to enable
personalized cancer therapy, including 1) to identify

</pre>