Title:
AI for simulation of biological systems - probabilistic generative model and bayesian inference for automatic quantification of metabolic data
Agreement Value:
$227,964.00
Agreement Date:
Mar 16, 2020 - Mar 15, 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. The 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.
This project will focus on a probabilistic framework for merging data-driven methods with theory-based models. The project will also evaluate the applicability of state-of-the-art automatic metabolic quantification methods from the literature to NMR data currently being collected by the NRC.
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 K1S 5B6
Reference Number:
172-2021-2022-Q4-947485
Report Type:
Grants and Contributions
Recipient Business Number:
118838937
Additional Information:
This agreement has been amended 1 time(s). The total amended value is 227,964 dollars and the end date of this agreements has been modified by 349 days
Amendment Date
Feb 28, 2022
Recipient's Legal Name:
Carleton University
Federal Riding Name:
Ottawa Centre
Federal Riding Number:
35075
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.