Using AI to Improve the Understanding and Diagnosis of Bipolar Neuroprogression

Traditionally, research into brain diseases has mainly focused on neurons. However, in recent decades, the brain’s blood vessels have taken a new spotlight. It is now known that when these blood vessels are damaged, potentially harmful substances can leak from the blood into the brain.

In this project, I will study the role of leaky blood vessels in the progression of bipolar disorder. Using a specialized MRI technology and artificial intelligence algorithms, I will: (1) elucidate the link between leaky blood vessels and bipolar disorder progression; (2) advance the technology for MRI-based diagnosis of psychiatric symptoms; and (3) lay the foundation for research into novel treatments that repair the brain’s blood vessels.

This project will bring Emagix closer to commercializing the developed diagnostic tool, with the ultimate goal of allowing doctors and researchers to diagnose and track the progression of psychiatric diseases in an objective and quantitative manner.

Faculty Supervisor:

Steven Beyea;Chris Bowen

Student:

Partner:

EMAGIX Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program: