Applying machine learning to a database of testimonials uncovers how drug-induced changes in subjective awareness are mechanistically rooted in the human brain

Psychedelics are now a rapidly growing area of neuroscience and clinical research, one that may produce much-needed new therapies for disorders such as depression and schizophrenia. Yet there is still a lot to know about how these drug agents alter states of consciousness.

Classified as: Danilo Bzdok, psychedelics, mental health, machine learning, Neuro
Published on: 16 Mar 2022

Congratulations to authors: Xi Chen, Ju Wang, Hang Li, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek, Taeseop Lee (Samsung Korea)y, Intaik Park (Samsung Korea) for their paper entitled:  One for All: Traffic Prediction at Heterogeneous 5G Edge with Data-Efficient Transfer Learning.  It was presented at IEEE Globecome 2021 and awarded Best Paper.  

Classified as: IEEE, Globecom, Traffic Prediction, Data-efficient transfer learning, machine learning, ML
Published on: 14 Dec 2021

Danilo Bzdok, a researcher at The Neuro, McGill’s Department of Biomedical Engineering and the Quebec Artificial Intelligence Institute, uses machine learning to identify patterns in human neurological and psychological data. One of his team’s recent studies analyzed personality profiles, demographic status and social lifestyle from a cohort of 40,000 UK Biobank middle aged participants. Their research focused on how these factors are related to each other and to brain structure.

Classified as: lifestyle, personality, brain structure, machine learning, Artificial intelligence, Danilo Bzdok
Category:
Published on: 17 Aug 2021

How can we predict suicide risk in students, especially at a time when the COVID-19 pandemic has negatively affected many people’s mental health? According to researchers from Montreal and France, self-esteem represents an important predictive marker of suicidal risk. The team from McGill University, University of Montreal, Inserm, and Université de Bordeaux is using artificial intelligence to identify factors that accurately predict suicidal behavior in students.

Classified as: AI, Artificial intelligence, algorithm, machine learning, suicide, suicidal, behaviour, students, University of Montreal, inserm, Université de Bordeaux, Massimiliano Orri, Mélissa Macalli
Published on: 28 Jul 2021

ECE Professor Tal Arbel recently presented research at the “AI and the Future of Cancer Research” (From the Goodman Cancer Research Centre’s Public Lecture Series).

Professor Arbel spoke about Artificial Intelligence (AI) and specifically her research focus on computer vision, already showing clinical success in the fields of brain tumours and multiple sclerosis.

Classified as: ECE, Tal Arbel, Artificial intelligence, AI, machine learning, ML, cancer research, computer vision, MS
Published on: 13 Nov 2019

Thanks to the hard work and determination of James J. Clark, a professor at the McGill Department of Electrical and Computer Engineering, and Director of its Centre for Intelligent Machines, and of Marc-André Gemme, a member of the Palais des congrès de Montréal’s business development team, 6,000 delegates will be converging in Montréal in October 2021 for the IEEE Computer Society's International Conference on Computer Vision (ICCV).

Classified as: AI, Artificial intelligence, CIM, computer engineering, computer vision, machine learning
Published on: 24 Nov 2017
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