We’ve arrived! Suneet, Dale, Perry, Farid, and myself have officially touched down in Quito for Test Your Limits: Ecuador! ✈️🏔️ You can join in on the adventure by following our expedition blog: testyourlimits.ca/category/blog-…

We propose a global consortium of federated labs, research institutes, academia and industry to advance #LLMs. To ensure safety, privacy and equity those at the front line of care should drive the development and deployment of these models. Peter Munk Cardiac Centre University Health Network University of Toronto

Truly remarkable and so inspiring Heather Ross. Love the pictures.

Incredible year Bo Wang. More motivated than ever to push the integration of #AI into clinical care, research and education with you and your team. University Health Network UHN AI Hub Peter Munk Cardiac Centre Peter Munk Cardiac Centre AI

The ever-inspiring Dr. RJ Cusimano Dr RJ Cusimano University of Toronto Cardiac Surgery Peter Munk Cardiac Centre kicks off the 9th Toronto Cardiac Tumour Conference, convening multidisciplinary voices and leading experts from 🌐, to discuss and continue tackling #CardiacTumours, a rare but lethal 🫀 condition.

AK Check our graph-mamba paper too 🙈 … our arXiv was released two weeks ago : arxiv.org/abs/2402.00789

fortune.com/2024/02/14/ame…

Let's kick off the first PMCC AI Seminar Series in 2024! Join us as Dr. David Ouyang from Cedars-Sinai talks about the role of AI in cardiovascular clinical trials. David Ouyang, MD Bo Wang Barry Rubin MD, PhD, FRCSC Valli Subasri @SenthujanSenka Peter Munk Cardiac Centre Cedars-Sinai

🔬 Exciting News! Our manuscript, "scGPT: toward building a foundation model for single-cell multi-omics using generative AI" is now finally published in Nature Methods (@NatureMethods) 🎉 !!! (Re-)Introducing scGPT: A transformative foundation model engineered for single-cell

Augmented Surgery (EVAR) with computer vision. Nice to see work at University Health Network Peter Munk Cardiac Centre Toronto General Hospital Research Institute UHN Sprott Department of Surgery highlighted in this issue. Attn: Amin Madani MD PhD UHN AI Hub

Great to the the work of Bo Wang on single cell GTP, a large language model of virtual cells that can be used to predict what a real cell would do in any situation, highlighted in today's The New York Times. Peter Munk Cardiac Centre University Health Network Temerty Medicine

well done, Valli!

The most deserving recipient of this recognition, and a great guy.

This study reveals something fascinating: Different packages (e.g., in terms of versions and programming languages) of the same algorithms/pipelines can lead to varied results in downstream analysis. Here are my thoughts: Firstly, this should not be used to critique Seurat and

Sincere congratulations, Lucas. Great accomplishment.

🚀 The Segment Anything Model (SAM) has been upgraded to SAM2, featuring an efficient image encoder for segmenting images and videos. But does SAM2 outperform SAM1 in medical image and video segmentation? We're thrilled to present our paper "Segment Anything in Medical Images

🎉 Excited to share our preprint: "ECG-FM: An Open Electrocardiogram Foundation Model"! ECG-FM is a transformer-based model, one of the pioneering open foundation models for ECG analysis. The electrocardiogram (ECG) is a widely used, cost-effective diagnostic test with great

Sincere congratulations and well deserved, Dr. Ouzounian. University Health Network Peter Munk Cardiac Centre University of Toronto

Great to start the inaugural Cedars-Sinai @uhn #AI in Medicine Workshop. Cedars-Sinai Academic Medicine  University of Toronto

Panel discussion on AI in Imaging at the Cedars-Sinai University Health Network #AI in Medicine Workshop.