The Neuro - Profile: Yasser Medina

Four early-career researchers receive leadership grants

��Ƭ��Ƶ University — Mon, 09 Nov 2020 19:36:34 +0000

Brain Canada program supports paradigm-shifting neuroscience that improves the lives of Canadians

Four researchers at The Neuro — Boris Bernhardt, Yasser Iturria-Medina, Jean-Francois Poulin, and Jo Anne Stratton — have received grants to support their work in the early-career stage, after being chosen from 150 talented applicants.

Brain Canada’s Future Leaders in Canadian Brain Research Program, anchored by a $5M gift from the Azrieli Foundation, enables paradigm-changing research of the brain to improve the lives of all Canadians.

AI-analyzed blood test can predict the progression of neurodegenerative disease

��Ƭ��Ƶ University — Tue, 28 Jan 2020 14:21:14 +0000

New technique could be used to choose best therapies for patients and measure their effectiveness

Evaluating the effectiveness of therapies for neurodegenerative diseases is often difficult because each patient’s progression is different. A new study shows artificial intelligence (AI) analysis of blood samples can predict and explain disease progression, which could one day help doctors choose more appropriate and effective treatments for patients.

Unique brain “fingerprint” can predict drug effectiveness

��Ƭ��Ƶ University — Mon, 09 Jul 2018 17:06:10 +0000

Technique can be used to better categorize patients with neurological disease, according to their therapeutic needs

Personalized medicine – delivering therapies specially tailored to a patient’s unique physiology – has been a goal of researchers and doctors for a long time. New research provides a way of delivering personalized treatments to patients with neurological disease.

“Big Data” study discovers earliest sign of Alzheimer’s development

��Ƭ��Ƶ University — Mon, 11 Jul 2016 14:09:43 +0000

Research underlines importance of computational power in future neurological breakthrough

Scientists at the Montreal Neurological Institute and Hospital have used a powerful tool to better understand the progression of late-onset Alzheimer’s disease (LOAD), identifying its first physiological signs.