How a Canadian cardiologist built a portable ‘hospital in a Pelican case’ - begiant.ca/stories/people/dr… @begiantca

Why Canada’s health Innovation bottleneck is adoption, not invention and how the Waterloo Region’s health-technology ecosystem is fixing innovation - uwaterloo.ca/news/opinion-wh… @UWaterloo

Digital healthcare project 'making a difference' - ca.news.yahoo.com/digital-he…

The @CHEO Research Institute’s world-first pediatric AI algorithm, ThinkRare, will soon be used in other pediatric centres across Canada – marking one of the first national deployments of a real-time, clinically embedded AI tool in pediatric care. - canhealth.com/2026/03/04/che…

With support from @OBIOscience, @HamHealthSci McMaster Children’s Hospital has a new tool, the Trexo Plus, designed by Mississauga-based Trexo Robotics, to support patients needing pediatric rehabilitation. canhealth.com/2026/01/21/rob…

Register now: hubs.la/Q03R5JvN0 📢 [WEBINAR] Building a Resilient Healthcare Workforce Join LGI & Cegid ​in collaboration with @DigiHealthCA to explore smarter workforce management. #HealthcareHR #WorkforceManagement #TalentRetention #DigitalHealthCanada

We are pleased to welcome Pathways BC to the Digital Health Canada membership community. Pathways is a trusted online directory of healthcare providers, services, and clinical resources that supports clinicians in British Columbia. Learn more at pathwaysbc.ca/info

We are delighted to welcome DCM to the Digital Health Canada membership community. DCM is dedicated to improving critical healthcare communications and operations. Learn more about them at ow.ly/L25w50WJMKa

Over the past year, there’s been a surge of excitement around agentic AI — systems that don’t just answer questions, but can act: reading instructions, running code, designing pipelines, and making decisions. In biomedicine, this raises a provocative question: 💡 Could the next member of your ML team be an AI agent? The honest answer — not yet. Today, we share BioML-bench, a new open benchmark to measure how far today’s agents are from this vision, and what it will take to get there. 📄 Paper : biorxiv.org/content/10.1101/… 💻 Code: github.com/science-machine/b… Why this matters Biomedical discovery doesn’t happen in a single step. It’s messy, iterative, and deeply interdisciplinary: cleaning data, choosing models, validating results, integrating diverse domains like genomics, imaging, and clinical records. Existing evaluations — mostly Q&A or coding challenges — don’t capture this complexity. We needed a testbed that reflects the real work of biomedical ML. What we built BioML-bench is a suite of 24 real biomedical ML tasks where agents must: --Parse nuanced task descriptions --Build and train models end-to-end --Compete against human leaderboards populated by domain experts It’s the first benchmark designed to ask: Can an agent truly operate like a biomedical data scientist? What we learned Our experiments with four different agents — from general-purpose systems to biomedical specialists — reveal a sobering truth: --Current agents operate at ~35% of human expert performance. --Domain specialization alone isn’t enough. Success comes from flexible, creative strategies, not rigid pipelines. --Even on imaging tasks, deep learning was underutilized, highlighting a gap between human and agent intuition. Looking ahead The promise of agentic AI isn’t to replace human scientists — it’s to amplify them. Imagine a future where an agent can set up a first-pass analysis overnight, freeing a scientist to focus on questions, not debugging scripts. We’re not there yet. But with BioML-bench, we now have a shared yardstick to track progress, spark innovation, and bring accountability to this emerging field. Grateful to our amazing team — led by @Henrymiller2012 , with contributions from Matthew Greenig, Benjamin Tenmann, and support from @SciMac. This work is a small but necessary step toward a future where AI becomes a true partner in biomedical discovery. 🌱 #AI #Biomedicine #Agents #MachineLearning #BioML

Call For Papers 📣 JMIR Biomedical Engineering invites submissions for a theme issue on AI Applications in Biomedical Engineering Learn More: hubs.la/Q03lFhD50 Editor-in-Chief: @Prof_Dr_S_Rizvi

SickKids named world’s best children’s hospital sickkids.ca/en/news/archive/…

No more ‘garbage in, garbage out’: U of T rolls out health data repository for AI researchers - utoronto.ca/news/no-more-gar…

The Ontario government has introduced the Health Innovation Pathway, a new system aimed at streamlining the review and adoption of healthtech solutions. startupecosystem.ca/news/ont…

We are pleased to welcome @SEHealth_SEHC to the Digital Health Canada membership community! SE Health is a leading social enterprise and one of the largest diversified home health organizations in Canada. Learn more at sehc.com/

Establish the right conditions for the successful implementation of AI-driven solutions with the guidance of the experts interviewed in 📔 Setting the Winning Conditions for AI-powered Healthcare (the latest CHIEF Executive Forum initiative) - digitalhealthcanada.com/memb…

Digital health records: Quebec authorizes an additional investment of $95 million - ctvnews.ca/montreal/article/… @CTVNews

We are pleased to welcome eMHIC to the Digital Health Canada Membership Community. #eMHIC is the world’s largest peak body in #DigitalMentalHealth, uniting people and organizations across sectors. Learn more about them at ow.ly/JEeU50WnZSR.

Join us in Montreal on Thursday, October 23 for a morning of learning and engagement with your peers from the Montreal region. Digital Health Canada Member Early Bird and Bundle savings on now! Register before September 18 at digitalhealthcanada.com/even…