A quest to solve the mysteries of cancer with AI and synthetic data

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Our project, in cooperation with The Cancer Registry of Norway, creates synthetic research data - based on original data, but without revealing sensitive information. The problem is re-identification of biological markers, which can be used to identify individual patients, so we can’t just remove names and addresses of patients and think that that’s all it takes. 

To solve the issue, we’re applying AI and Generative Adversarial Networks to facilitate a collaboration between researchers and aiding them in their quest to solve the mysteries of cancer. In our project we have managed to generate synthetic data with high quality.

This groundbreaking work can lead to a revolution within cancer research. If more researchers across industry disciplines have access to vital data, we can achieve cancer fighting results faster than ever.

 

Team Name	Amesto NextBridge - The Cancer Registry of Norway
Track	Health
Use Case	Synthetic data for cancer research without releasing personal information
Technology	SAS platform, open source
Region	Emea
Team lead	Kjetil Kalager, kka@nextbridge.no
Team members	Jan F Nygård, jan.nygard@kreftregisteret.no Silje Nord, sno@nextbridge.no Kosovare Olluri, kol@nextbridge.no Daniil Shanstev, dsh@nextbridge.no

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[KickiBjorkvall]

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