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Automated Neurotoxicity Validation using MRI Protocols on a Cloud-Based Architecture
The proposed research project is aimed at developing an automated MR-processing pipeline for pre-clinical neuroimaging. This pipeline will address some of the existing issues associated with current methodologies, and has the potential to re-define the world of early drug development, particularly relating to the assessment of neurotoxicity.
Faculty Supervisor:
Chris Joslin
Student:
Partner:
Tessellis Ltd.
Discipline:
Engineering
Sector:
Information and cultural industries; Professional, scientific and technical services
University:
Carleton University
Program:
Accelerate
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