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.
Amesto NextBridge - The Cancer Registry of Norway
|Use Case||Synthetic data for cancer research without releasing personal information|
|Technology||SAS platform, open source|
|Team lead||Kjetil Kalager, firstname.lastname@example.org|
Jan F Nygård, email@example.com
Silje Nord, firstname.lastname@example.org
Kosovare Olluri, email@example.com
Daniil Shanstev, firstname.lastname@example.org
Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.