Title:
Digital-twin of bioreactor for accelerated design and optimal operations in production of complex biologics - AI and machine learning for development of insilico digital twin
Agreement Value:
$237,600.00
Agreement Date:
Mar 23, 2022 - Mar 22, 2023
Description:
Bioreactors play major role in manufacturing processes of biologics. While their design has been well documented for traditional fermentations for production of simple biomolecules, their use for production of complex biologics using eukaryotic systems such as HEK-293 human cells remains very empirical. Biologics production in bioreactors is performed in a high dimensional design space requiring a high and broad level of expert knowledge not necessary captured systematically in the prevailing scientific and technical literature. Additionally, biological products such as exosomes and viral vectors (AAV) are complex biological structures that have demonstrated recently significant value in the treatment of a number of cancers and hereditary diseases. Their manufacturing in bioreactor at scale in quantity and quality that meets the preclinical and clinical needs significantly limits their use and growth potential as therapeutic tools. This create an opportunity to integrate the expert knowledge accumulated in the databases and exploit the advances in AI to accelerate the design and optimization of the production of these two key biologics (exosomes and AAV) through the implementation and operation of a digital-twin bioreactor connected to a physical bioreactor using a series of sensors in constant communication and feed-back.
This project will focus on AI and machine learning for development of insillico digital twin.
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:
Ottawa, Ontario, CA K1N 6N5
Reference Number:
172-2021-2022-Q4-947457
Report Type:
Grants and Contributions
Recipient Business Number:
119278877
Additional Information:
This agreement has been amended 1 time(s). The total amended value is $237,600 and the end date of this agreements has been modified by 365 days)
Amendment Date
Jan 11, 2022
Recipient's Legal Name:
University of Ottawa
Federal Riding Name:
Ottawa–Vanier
Federal Riding Number:
35078
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.