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Personalized medicine for seriously ill children

How data science meets medicine to treat pediatric cancer.
Panel discussion in English

Pediatric cancer is a devastating diagnosis for affected families and unfortunately even nowadays there are very few treatment options available for some of these tumors. Personalized cancer therapy is the most promising way forward to find effective therapies for these critically ill children aiming to provide families with a direction where currently no curative treatments exist.

This Science Café shows how researchers from diverse disciplines such as data science, biology and medicine collaborate in practice to enable the tailoring of therapies for an individual child. In addition, visitors find out about the path from drug assessment in a petri dish to clinical application. This avenue is becoming increasingly important not only for pediatric cancer applications, but for modern healthcare solutions in general. The speakers will also discuss how artificial intelligence (AI) could be used in a medical context.
Panelists

  • Prof. Javad Nazarian, Head of the Translational Program of the DIPG/DMG Center Zurich, University Children’s Hospital Zurich
  • Sandra Laternser, Research Associate, DIPG/DMG Center Zurich, University Children’s Hospital Zurich
  • Dr. Sarah Brüningk, Postdoctoral Research Fellow, Biomedical Data Science Lab, ETH Zurich
  • Dr. Stephanie Mathes, Project Manager, DIPG/DMG Center Zurich, University Children’s Hospital Zurich

Moderation
Bettina Kritzer, Research Associate, DIPG/DMG Research Center Zurich