Digital Health & Medical AI

health

Technology and healthcare are coming together in exciting ways. Medical scans are now more informative, wearable devices are about more than just tracking steps, and surgeries are getting a helping hand from AI.

Through research and collaboration, we're exploring how these advancements can make healthcare simpler and more accessible for everyone. The world of medical AI is all about using tech to make health a little easier to understand and manage.

For advancements in digital health and medical AI, collaboration is paramount. We bring together researchers from diverse departments, such as Information Technology and Electrical Engineering (D-ITET), Mathematics (D-MATH), Mechanical and Process Engineering (D-MAVT), Computer Science (D-INFK), Biology (D-BIOL), Biosystems Science and Engineering (D-BSSE), Chemistry and Applied Biosciences (D-CHAB), Health Sciences and Technology (D-HEST), Management, Technology, and Economics (D-MTEC), Physics (D-PHYS) and multiple research groups from UZH.

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Research topics include

  • Precision medicine and Genomics
  • Cancer genetics and Molecular imaging
  • Drug safety research
  • Biomarkers, Wearables and Mobile monitoring
  • Image computing and Computer-aided surgery
  • Bioinformatics
  • Biomedical engineering and Reinforcement learning
  • Neurorehabilitation

Featured projects

  • Medical imaging
  • Wearable time-series
  • Protein structures
  • Intraoperative data during surgery
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