Title:
AI for simulation of biological systems - machine learning implementation for cell behavior prediction and knowledge discovery
Agreement Value:
$97,350.00
Agreement Date:
Apr 28, 2020 - Mar 31, 2023
Description:
AI systems that can describe and predict behavior of biological networks of cells, tissues and organisms will allow more accurate, faster and less expensive innovations in life sciences while at the same time ensuring predictable outcomes. In particular, the full potential for safe and efficient utilization of gene editing and live cell therapies requires an ability for controlled design of these modalities with simulations that allow testing and optimization under different conditions in both production and utilization. This project will combine machine learning and mechanistic modeling for the development of simulation of biological systems and link these simulations with learning algorithms for testing and optimizing different designs. The focus of this 2 year project, will be on the development of methods for the simulation and design of desired characteristics of exosomes, as carriers of gene therapies, and development of methodologies for building simulations for HEK293, as major cells for bioreactor production and iPSC cells as major cells in stem and cell therapy development.
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:
Kingston, Ontario, CA K7L 3N6
Reference Number:
172-2021-2022-Q4-948902
Report Type:
Grants and Contributions
Recipient Business Number:
107585226
Additional Information:
This agreement has been amended 1 time(s). The total amended value is $97,350 and the end date of this agreements has been modified by 365 days
Amendment Date
Jan 7, 2022
Recipient's Legal Name:
Queen's University at Kingston
Federal Riding Name:
Kingston and the Islands
Federal Riding Number:
35044
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.