[BIC-announce] Course - Advancing Precision Medicine in Neurology

[Yasser Iturria Medina, Dr]

Open for registration (NEUR602-006 in the Fall2022): Neuroinformatics for Advancing Precision Medicine in Neurology
Instructor: Yasser Iturria-Medina, PhD.
Invited Presenters/Assistants: Nikhil Bhagwat, Sue-Jing Lin, Quadri Adewale, Ahmed F. Khan, Lazaro Rodriguez Sanchez, Robert Tobias Baumeister.
Location: MNI, Penfield Pavilion, room 282. Virtual if lock-down.
Time (to be modified if needed by students): Flexible
Description:
Progressive diseases (e.g., neurodegenerative conditions) start with non-detectable clinical symptoms and may take years (or even decades) to develop. Predicting the distinctive individual course of a progressive disorder, and understanding its underlaying causes, is of crucial importance for accurate diagnosis and personalized therapeutic intervention. However, in practice, there are multiple challenges associated to this problem, such as a high inter-subject variability within the same disorder and the lack of robust disease biomarkers. A growing number of studies have attempted to overcome this gap by using Big-Data and sophisticated statistical and computational models, including novel Artificial Intelligence techniques. This course will focus on state-of-the-art neuroinformatic models (using multi-omics molecular, multi-modal brain imaging, wearable devices and/or clinical data) characterizing disease evolution and heterogeneity, with the ultimate goal of accelerating Precision Medicine in neurology.
Objectives of the section:
- To familiarize the student with the main concepts and requirements of disease progression/heterogeneity tools oriented towards Precision Medicine (PM).
- To understand the principles of state-of-art neuroinformatic models/tools based on multi-omics (e.g., [epi]genome, transcriptome), multi-modal brain imaging (e.g., PET, fMRI, DTI, MRI), medical records, wearable devices, and cognitive/clinical data.
- Design experiments and apply some of these models to real data.

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Yasser Iturria Medina, PhD.
Canada Research Chair in Multimodal Data Integration in Neurodegeneration
Neuroinformatics for Personalized Medicine lab (http://www.neuropm-lab.com/)
Montreal Neurological Institute, McGill University
Check our last articles:
https://doi.org/10.1038/s41531-022-00332-9
https://doi.org/10.1093/brain/awab375
https://doi.org/10.1038/s41598-022-09506-0
https://doi.org/10.1038/s42003-021-02133-x

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