AI and Health

Innovative artificial intelligence (AI) advances in healthcare can improve the lives of humans throughout the world and speed up research in key areas. Through the thoughtful and sensitive use of AI, medical practitioners can make better decisions for their patients, healthcare management can be streamlined, and lives can be saved.

Man in lab suit and mask carrying a newborn baby in his arms.

With AI, doctors can make better-informed decisions, and patients can receive highly personalized treatments based on their unique medical histories. AI can provide early diagnosis for neurodegenerative conditions such as Alzheimer’s disease and multiple sclerosis, while also improving outcomes for patients with chronic illnesses such as cancer, arthritis and diabetes.

From exploring antibiotic resistance, to discovering new targets and drugs, to developing new forms of medical imaging and diagnostic methods, Mila’s researchers are building responsible and inclusive AI tools, ensuring a healthier future for all. Several of our experts also work in collaboration with hospitals to better integrate AI tools within the healthcare system.

Featured Projects

A head x-ray taken by a computer-assisted tomographic (CAT) scanner.

Improving medical image analysis with AI

This project aims to develop modern deep learning frameworks that accurately predict future patient outcomes and the effects of individual treatments, by asking them to overcome the challenges presented by real-world data. 

Microscopic view of human tissues.

Causal Cell Dynamics Lab

Mila has joined forces with Helmholtz Munich and the Max Planck Institute for Intelligent Systems to form an international lab that will use big data and AI to shed light on the role of cellular processes in the development of diseases. 

Close-up of a pipette pouring a product into a test tube.

Acuité Québec

As a member of the Acuité Québec consortium, Mila plays a key role in developing cutting-edge technologies to better predict and image drug action.

Photo of Yoshua Bengio

AI presents an extraordinary opportunity to improve human health, by helping doctors make better and faster decisions, facilitating the discovery of new drugs, providing personalized treatments, and improving how we detect, track, and treat diseases. 

Yoshua Bengio, Full Professor, Université de Montréal, Founder and Scientific Director, Mila

Resources

Using artificial intelligence to make molecule discovery more efficient
National Research Council of Canada (NRC) collaboration focuses on using AI for health and climate benefits.
Largest ever psychedelics study maps changes of conscious awareness to neurotransmitter systems
Website of The Neuro (Montreal Neurological Institute-Hospital)

In the Media

Largest Study of Psychedelic Drugs and How They Affect Brain Chemistry (Lab Manager)

Research Labs

Mila professors exploring the subject as part of their research.

Mila Faculty
Core Academic Member
Portrait of Tal Arbel
Full Professor, McGill University, Department of Electrical and Computer Engineering
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Narges Armanfard
Assistant Professor, McGill University, Department of Electrical and Computer Engineering
Core Academic Member
Portrait of Pierre-Luc Bacon
Assistant Professor, Université de Montréal, Department of Computer Science and Operations Research
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Shahab Bakhtiari
Assistant Professor, Université de Montréal, Department of Psychology
Affiliate Member
Portrait of Pierre (Louis) Bellec
Associate Professor, Université de Montréal, Department of Psychology
Core Academic Member
Portrait of Yoshua Bengio
Full Professor, Université de Montréal, Department of Computer Science and Operations Research Department
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Mathieu Blanchette
Director and Associate Professor, McGill University, School of Computer Science
Associate Academic Member
Portrait of Marco Bonizzato
Assistant Professor, Polytechnique Montréal, Department of Electrical Engineering
Associate Academic Member
Portrait of David Buckeridge
Full Professor, McGill University, Department of Epidemiology, Biostatistics and Occupational Health
Core Academic Member
Portrait of Danilo Bzdok
Associate Professor, McGill University, Department of Biomedical Engineering
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Margarida Carvalho
Assistant Professor, Université de Montréal, Department of Computer Science and Operations Research
Core Academic Member
Portrait of Sarath Chandar
Assistant Professor, Polytechnique Montréal, Department of Computer Engineering and Software Engineering
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Ian Charest is unavailable
Assistant Professor, Université de Montréal, Department of Psychology
Core Academic Member
Portrait of Jackie Cheung
Associate Scientific Director, Mila, Associate Professor, McGill University, School of Computer Science
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Mark Coates
Associate Professor, McGill University, Department of Electrical and Computer Engineering
Associate Academic Member
Portrait of Julien Cohen-Adad
Associate Professor, Polytechnique Montréal, Electrical Engineering Department
Affiliate Member
Portrait of Jacques Corbeil
Université Laval
Affiliate Member
Portrait of Maria Cutumisu
McGill University
Affiliate Member
Portrait of Jun Ding
Assistant professor, McGill University, Department of Medicine
Associate Industry Member
Portrait of Alexandre Drouin
Research Scientist, ServiceNow
Associate Academic Member
Portrait of Guillaume Dumas
Associate Professor, Université de Montréal, Department of Psychiatry and Addiction
Associate Academic Member
Portrait of Audrey Durand
Assistant Professor, Université Laval, Department of Computer Science and Software Engineering
Canada CIFAR AI Chair
Affiliate Member
Portrait of Samira Ebrahimi Kahou
Assistant Professor, University of Calgary, Deparment of Electrical and Software Engineering
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Shirin A. Enger
Tenured Associate Professor, McGill University, Department of Oncology
Associate Academic Member
Portrait of Paul François
Full Professor, Université de Montréal, Department of Biochemistry and Molecular Medicine
Associate Academic Member
Portrait of Christian Gagné
Full Professor, Université Laval, Department of Electrical and Computer Engineering
Canada CIFAR AI Chair
Core Industry Member
Portrait of Marc Gendron-Bellemare is unavailable
Chief Scientific Officer, Reliant AI
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Pascal Germain
Assistant Professor, Université Laval, Department of Computer Science and Software Engineering
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Toby Dylan Hocking
Associate Professor, Université Sherbrooke, Department of Computer Science
Affiliate Member
Portrait of Mahdi Hosseini
Concordia University
Associate Academic Member
Portrait of Julie Hussin
Associate Professor, Université de Montréal
Associate Academic Member
Portrait of Karim Jerbi
Associate Professor, Université de Montréal, Department of Psychology
Affiliate Member
Portrait of Khimya Khetarpal
Research Scientist, Google DeepMind
Affiliate Member
Portrait of John Kildea
Assistant Professor, McGill University, Department of Oncology
Associate Academic Member
Portrait of Eric Kolaczyk
Professor, McGill University, Department of Mathematics and Statistics
Core Academic Member
Portrait of Simon Lacoste-Julien
Associate Scientific Director, Mila, Associate Professor, Université de Montréal, Department of Computer Science and Operations Research
Canada CIFAR AI Chair
Core Academic Member
Portrait of Guillaume Lajoie
Associate Professor, Université de Montréal, Department of Mathematics and Statistics
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Marc-André Legault
Assistant Professor, Université de Montréal, Pharmacogenetics
Associate Academic Member
Portrait of Sébastien Lemieux
Associate Professor, Université de Montréal, Department of Computer Science and Operations Research and Department of Biochemistry and Molecular Medicine
Associate Academic Member
Portrait of Yue Li
Assistant Professor, McGill University, School of Computer Science
Associate Academic Member
Portrait of Bang Liu
Assistant Professor, Université de Montréal, Department of Computer Science and Operations Research
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Xue (Steve) Liu is unavailable
Full Professor, McGill University, School of Computer Science
Associate Academic Member
Portrait of Hervé Lombaert
Associate Professor, Polytechnique Montréal, Department of Computer Engineering Department
Core Academic Member
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Assistant Professor in Machine Learning, HEC Montréal, Department of Decision Science
Affiliate Member
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Full Professor, UQAM, Department of Computer Science
Affiliate Member
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McGill University
Associate Academic Member
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Assistant Professor, Université de Montréal, Department of Neurosciences
Canada CIFAR AI Chair
Associate Academic Member
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Assistant Professor, McGill University, School of Computer Science
Core Academic Member
Portrait of Chris Pal
Full Professor, Polytechnique Montréal, Department of Computer Engineering and Software Engineering
Canada CIFAR AI Chair
Core Academic Member
Portrait of Joelle Pineau
Associate Professor, McGill University, School of Computer Science
Canada CIFAR AI Chair
Associate Academic Member
Portrait of Dan Poenaru
Professor, McGill University, Department of Pediatric Surgery
Core Academic Member
Portrait of Doina Precup
Associate Professor, McGill University, School of Computer Science
Canada CIFAR AI Chair
Core Academic Member
Portrait of Reihaneh Rabbany
Assistant Professor, McGill University, School of Computer Science
Canada CIFAR AI Chair
Associate Academic Member
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Assistant Professor, Concordia University, Gina Cody School of Engineering and Computer Science
Associate Academic Member
Portrait of Catherine Régis
Full Professor, Université de Montréal
Canada CIFAR AI Chair
Core Academic Member
Portrait of Blake Richards
Associate Professor, McGill University, School of Computer Science and Department of Neurology and Neurosurgery
Canada CIFAR AI Chair
Core Academic Member
Portrait of Irina Rish
Full Professor, Université de Montréal, Department of Computer Science and Operations Research Department
Canada CIFAR AI Chair
Core Industry Member
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Research Scientist, Meta AI Research (FAIR)
Canada CIFAR AI Chair
Associate Academic Member
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Professor, McGill University, School of Computer Science
Associate Academic Member
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Assistant Professor, Université Laval, Department of Computer Science and Software Engineering
Affiliate Member
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Assistant Professor, McGill University, Department of Medicine and Department of Human Genetics
Associate Academic Member
Portrait of Martin Vallières
Assistant Professor, Université Sherbrooke, Department of Computer Science
Canada CIFAR AI Chair
Core Academic Member
Portrait of Guy Wolf
Associate Professor, Université de Montréal, Department of Mathematics and Statistics
Canada CIFAR AI Chair
Associate Academic Member
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Associate professor, McGill University, Department of Mathematics and Statistics
Associate Academic Member
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Full Professor, Polytechnique Montréal, Department of Computer Engineering and Software Engineering

Publications

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Junde Wu
Rao Fu
Huihui Fang
Yuanpei Liu
Zhao-Yang Wang
Yanwu Xu
Yueming Jin
The Segment Anything Model (SAM) has recently gained popularity in the field of image segmentation due to its impressive capabilities in var… (see more)ious segmentation tasks and its prompt-based interface. However, recent studies and individual experiments have shown that SAM underperforms in medical image segmentation, since the lack of the medical specific knowledge. This raises the question of how to enhance SAM's segmentation capability for medical images. In this paper, instead of fine-tuning the SAM model, we propose the Medical SAM Adapter (Med-SA), which incorporates domain-specific medical knowledge into the segmentation model using a light yet effective adaptation technique. In Med-SA, we propose Space-Depth Transpose (SD-Trans) to adapt 2D SAM to 3D medical images and Hyper-Prompting Adapter (HyP-Adpt) to achieve prompt-conditioned adaptation. We conduct comprehensive evaluation experiments on 17 medical image segmentation tasks across various image modalities. Med-SA outperforms several state-of-the-art (SOTA) medical image segmentation methods, while updating only 2\% of the parameters. Our code is released at https://github.com/KidsWithTokens/Medical-SAM-Adapter.
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
Eric Nguyen
Michael Poli
Marjan Faizi
Armin W Thomas
Callum Birch-Sykes
Michael Wornow
Aman Patel
Clayton M. Rabideau
Stefano Massaroli
Stefano Ermon
Stephen Baccus
Christopher Re
Catalyzing next-generation Artificial Intelligence through NeuroAI
Anthony Zador
Sean Escola
Bence Ölveczky
Kwabena Boahen
Matthew Botvinick
Dmitri Chklovskii
Anne Churchland
Claudia Clopath
James DiCarlo
Surya
Surya Ganguli
Jeff Hawkins
Konrad Paul Kording
Alexei Koulakov
Yann LeCun
Timothy P. Lillicrap
Adam
Adam Marblestone … (see 9 more)
Bruno Olshausen
Alexandre Pouget
Cristina Savin
Terrence Sejnowski
Eero Simoncelli
Sara Solla
David Sussillo
Andreas S. Tolias
Doris Tsao
Multi-view manifold learning of human brain state trajectories
Erica Lindsey Busch
Je-chun Huang
Andrew Benz
Tom Wallenstein
Smita Krishnaswamy
Nicholas Turk-Browne

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