- Health and well-being
- Event date:
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- Time:
- 12:00–16:00
- Event location:
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Snellmania, SN201, Kuopio Campus
- Additional information:
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Live stream online (Teams)
- Add to calendar:
Outlook
The doctoral dissertation of Naga Raju Gudhe, MSc, entitled A deep learning-driven approach for breast cancer risk and outcome prediction will be examined at the Faculty of Health Sciences. The Opponent in the public examination will be Associate Professor Pekka Ruusuvuori of the University of Turku, and the Custos will be Professor Arto Mannermaa of the 91. The public examination will be held in English.
Press release linked below.
