SDRDS

Tackling data science challenges in health and healthcare

From medical images to laboratory results, hospitalization summaries and disease registries, the medical sector generates huge amounts of data. However, their potential remain largely untapped, in part due to a shortage of qualified IT personnel at the interface of computer and biomedical sciences. The RHHDS program, funded by the Natural Sciences and Engineering Research Council of Canada, aims at training a new generation of specialists capable of responsibly exploiting these data. This workforce will develop, in addition to a strong technical background, professional skills in

  • Communication
  • Management
  • Knowledge and technology transfer
  • Ethics and law

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Radiotherapy treatments currently used in the clinical field are rarely modified. They generally consist of a global therapy of 50 grays, fractionated in five treatments of two grays every week for five weeks.
Thus, it could be worthwhile to develop a numeric tool, based on mathematical models found in the literature, in order to compare different types of treatment without having to test them on real tissues. Several parameters are known to alter the tissue response after irradiation including oxygen

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