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PSB 2019 Workshop on Text Mining and Visualization for Precision Medicine

 
: Gonzalez-Hernandez, G.; Lu, Z.Y.; Leaman, R.; Weissenbacher, D.; Boland, M.R.; Chen, Y.; Du, J.C.; Fluck, J.; Greene, C.S.; Holmes, J.; Kashyap, A.; Nielsen, R.L.; Ouyang, Z.Q.; Schaaf, S.; Taroni, J.N.; Tao, C.; Zhang, Y.P.; Liu, H.F.

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Volltext ()

Altman, R.B.:
Pacific Symposium on Biocomputing 2019 : Kohala Coast, Hawaii, USA, 3 - 7 January 2019
Singapore: World Scientific, 2019
ISBN: 978-981-3279-82-7
ISBN: 978-981-3279-81-0
S.449-454
Pacific Symposium on Biocomputing (PSB) <2019, Kohala Coast/Hawaii>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer SCAI ()

Abstract
Precision medicine, an approach for disease treatment and prevention that considers "individual variability in genes, environment, and lifestyle"(1) was endorsed by the National Institutes of Health, aided by the presidential Precision Medicine Initiative (PMI), in 2016. PMI provided funding for cancer research and for building a national cohort of one million or more U.S. participants, now known as the "All of Us" Research Program, which aims to expand its impact to all diseases. PMI was the catalyst to a widespread effort around precision medicine, as evidenced by the more than 1000 grants funded by different NIH institutes in just the last two years. The data being generated by these efforts is growing exponentially, and becomes both the greatest treasure and the greatest challenge for researchers. This workshop is a continuation of a similar session in PSB 2018, providing a forum for researchers with strong background in text mining or natural language processing (NLP) and/or machine learning (ML) who are actively collaborating with bench scientists and clinicians to tackle the challenges brought about by this explosion of data.

: http://publica.fraunhofer.de/dokumente/N-549491.html