Probabilistic Vision Group

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 @WorldSummitAI in Montréal this morning.

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

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 @arbtal, qui, avec son équipe, a développé le tout premier modèle d’inférence causale pour la médecine personnalisée basé sur des images d’IRM en 3D. mila.quebec/fr/ameliorer-l…

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 (@arbtal), and her team, who have developed the first causal inference model for personalized medicine based on 3D MRI images. Learn more mila.quebec/en/improving-m…

Thank you to all of our collaborators and sponsors: @McGill_CIM, @Mila_Quebec, @MSFTResearch, @TheNeuro_MNI, @CIFAR_News, @MSCanOfficial, and the International Progressive MS Alliance (#IPMSA). 7/7

Your dedication to research and academic excellence is truly inspiring. As you embark on new endeavours, your presence will be missed. Wishing you continued success and impact in your academic journey and beyond! 6/7

3⃣ @FinleyDurso, @BBera2808, JP Falet, DL Arnold, @pwnic, @arbtal, "Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs", MICCAI 2024. Link: link.springer.com/chapter/10.100… 5/7

🎓📚Exciting News! Congratulations to Dr. Durso-Finley (@FinleyDurso) for successfully defending his Ph.D. thesis on "Uncertainty aware causal models for prediction of individual treatment effects for image-based precision medicine." 1/7

2⃣ @FinleyDurso, JP Falet, @RaghavM93, DL Arnold, @pwnic, @arbtal, "Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models", MICCAI 2023, [SHORT LISTED FOR BEST PAPER AWARD]. Link: link.springer.com/chapter/10.100… 4/7

Here are some of his publications: 1⃣ @FinleyDurso, JP Falet, @BNichyporuk, DL Arnold, @arbtal, "Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI", MIDL 2022. Link: proceedings.mlr.press/v172/durso-fin… 3/7

He developed deep learning models for predicting future patient outcomes and future individual treatment effects based on 3D MRI acquired from multiple sclerosis patients. Through his research, Joshua aims to advance image-based precision medicine in real clinical contexts. 2/7

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 @PVG_McGill @Mila_Quebec!

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

L’atelier @WiMLworkshop 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 (@KaczmarekEmily), Golnoosh Farnadi (@gfarnadi) et Tal Arbel (@arbtal) aux tables rondes de mentorat de 11h à 12h30 dans la salle de réunion West 211-214 à #NeurIPS2024.

Come meet our esteemed Mila representatives at the @WiMLworkshop 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.

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

New #postdoctoral award opportunity ($100,000/year): Apply to work in our @PVG_McGill in #AI for #medicalimaging @mcgillu @Mila_Quebec in Montreal, Quebec, Canada. Application deadline: December 1, 2024

🦾 How can #AI help #MS clinicians? Professor @arbtal of @mcgillu 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

A special shoutout to the International Progressive MS Alliance (#IPMSA), @MSFTResearchCam, @MSCanOfficial, @CIFAR_News, @McGill_Eng, @McGill_CIM, and @Mila_Quebec for their invaluable support. 3/3

Grateful to everyone who played a part in this research: @FinleyDurso, @BBera2808, @jpfalet, Douglas L Arnold, @pwnic, and @arbtal. 2/3

Excited to share that @FinleyDurso and @BBera2808 presented their work "Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs" at #MICCAI2024! 🎉 Check it out: arxiv.org/abs/2406.12807 1/3