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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Featured project

Pseudo-medicine and data science: impact study of learning algorithms in the propagation of misinformation in health field

Student member : Guillaume Jorandon

This project studies the consequences of artificial intelligence (AI) systems and data science on public discourse, as well as their usage by the new content providers on the Web. 
It will tackle the ethical aspects of learning algorithms and recommendation filters implemented by internet companies to select and present content to the user. Specifically, the project investigates the consequences of such algorithms on public health, especially in the propagation of medical misinformation and pseudo-medicine.

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