Title:
A New Framework for Safeguarding the Security & Privacy of Precision Healthcare Data using Big Data Analysis and Homomorphic Encryption
Agreement Value:
$82,500.00
Agreement Date:
Mar 31, 2020 - Mar 31, 2021
Description:
Precision medicine is an emerging approach for disease treatment and prevention by delivering personalized care to individual patients taking into consideration their personal circumstance in terms of genetic makeup, environment, and lifestyle. Advancement in precision healthcare is tied to technological advancements, such as big data storage and analysis, sensor technologies, the Internet of Things, etc. Despite the rapid advancement of precision medicine and the considerable promises that it entails, several underlying technological challenges have not yet received the attention they deserve. One such area of great importance is the security and privacy of precision health related data. Specifically, the security and privacy risks of introducing precision health related data, such as the human genome, in patient’s electronic health record (EHR), are not well understood.
The purpose of the current project is to develop an Artificial Intelligence-based framework that will take as input precision health related data, such as the human genomic sequence, and produce a different representation that is privacy-proven and can be appended safely to patient’s EHR. This new representation will provide enough information that can be used and analyzed by the different precision health professionals, while not being reversible. The new framework will leverage advances in deep neural network and homomorphic encryption techniques.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Victoria, British Columbia, CA V8P 5C2
Reference Number:
172-2019-2020-Q4-947426
Report Type:
Grants and Contributions
Recipient Business Number:
108162470
Additional Information:
This agreement has been amended 2 time(s). The end date of this agreements has been modified by 80 days. The total amended value is 107,000 dollars.
Recipient's Operating Name:
University of Victoria
Recipient's Legal Name:
University of Victoria
Federal Riding Name:
Victoria
Federal Riding Number:
59041
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.