Grants and Contributions:
Title:
AI for precision discovery on associations in biological systems
Agreement Number:
947406
Agreement Value:
$158,400.00
Agreement Date:
Mar 26, 2020 - Mar 31, 2022
Description:
Precise discovery on the causal associations between phenotype (such as human complex diseases) and underlining genetic variations is one of the fundamental questions in life sciences, and has an essential role in translational medicine. To date, many studies have been conducted to infer disease-relevant genes/biomarkers, but only a limited number of signals have been experimentally confirmed to be causative. The cell heterogeneity of the complex tissues is a major known factor contributing to this limitation. In this project, we aim to precisely identify genetic-phenotype associations in a cell-subtype specific manner by combining massively parallel single-cell-based CRISPR knockdown or knockout screening and advanced AI technologies, such as deep generative models. In particular, activities will focus on applying and developing AI methods to mine the real information behind the massive single cell data and infer the precise genetic-phenotype signals. Research will also make use of AI technologies to design gene and cell therapeutic interventions to target the identified signals.
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:
Toronto, Ontario, CA M5G 1L5
Reference Number:
172-2019-2020-Q4-947406
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
108162330
Recipient Type:
Academia
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 32 days.
Recipient's Operating Name:
The Governing Council of the University of Toronto
Recipient's Legal Name:
The Governing Council of the University of Toronto
Federal Riding Name:
University–Rosedale
Federal Riding Number:
35110
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.
NAICS Code:
541710