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

Started ‎03-30-2021 by
Modified ‎10-20-2022 by
Views 2,404
 

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 cant just remove names and addresses of patients and think that thats 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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Last update:
‎10-20-2022 12:26 PM
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