- 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)
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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 University of Eastern Finland. The public examination will be held in English.
A press release of the dissertation will be published at https://www.uef.fi/en/doctoral-dissertations the week before the public examination.