🦾 How can #AI help #MS clinicians? Professor Tal Arbel of McGill University says: “AI tools can offer clinicians much more personalised information about the individuals with MS." Learn how the #technology can be used, read our latest MS Research Spotlight ➡️ bit.ly/3A16VUF

New #postdoctoral award opportunity ($100,000/year): Apply to work in our Probabilistic Vision Group in #AI for #medicalimaging McGill University Mila - Institut québécois d'IA in Montreal, Quebec, Canada. Application deadline: December 1, 2024

Interested in learning about the potential of AI to predict future disease evolution trajectories and treatment effects based on uncertainty-aware causal inference? Read more here: arxiv.org/abs/2406.12807

Come meet our esteemed Mila representatives at the WiML next week! Professors Tal Arbel and Golnoosh Farnadi, along with PhD student Emily Kaczmarek, will host Mila’s Mentorship Roundtable from 11 AM to 12:30 PM.

L’atelier WiML a lieu aujourd’hui! Curieux⋅se d’en savoir plus sur le quotidien d’un·e étudiant·e ou d’un·e stagiaire à Mila? Venez rencontrer Emily Kaczmarek (Emily Kaczmarek), Golnoosh Farnadi (Golnoosh Farnadi @NeurIPS2024) et Tal Arbel (Tal Arbel) aux tables rondes de mentorat de 11h à

The WiML is happening today! Curious about what it's like to be a Mila student or intern? Come meet Emily Kaczmarek (Emily Kaczmarek), Golnoosh Farnadi (Golnoosh Farnadi @NeurIPS2024) and Tal Arbel (Tal Arbel) at the mentorship roundtables from 11 am to 12:30 pm in West Meeting Room 211-214

Are you passionate about revolutionizing healthcare through AI? I am recruiting several PhD students and postdocs for Fall 2025. I will be #NeurIPS2024 all week so reach out if you are interested in joining Probabilistic Vision Group Mila - Institut québécois d'IA!

Le secteur de la santé est l’un des domaines d’application les plus prometteurs de l’IA. En cette journée mondiale de la santé, nous souhaitons mettre de l'avant une initiative dirigée par la professeure Tal Arbel Tal Arbel, qui, avec son équipe, a développé le tout premier modèle

Healthcare is one of the most promising sectors for the application of AI. On this World Health Day, we want to highlight an initiative led by Professor Tal Arbel (Tal Arbel), and her team, who have developed the first causal inference model for personalized medicine based on 3D

Congratulations to PVG Master's student Elizabeth Janes for receiving the Mila EDI Scholarship in the Women in AI category!

Mila members Tal Arbel and Danilo Bzdok presented their research on AI for trustworthy image-based precision medicine and improved autism diagnosis on the main stage of the World Summit AI: We do AI different. in Montréal this morning.