Digital Health & Discovery Platform

Can AI help personalize diabetes care? People living with diabetes often take multiple medications and need regular monitoring, but the information needed to personalize their treatment is often scattered and hard to find. A new DHIF project is exploring how AI can address this challenge.

The Quebec-based team will explore how privacy-preserving AI combines real-world clinical data, genomic risk scores and trusted guidelines to deliver safer, more consistent and more personalized diabetes care. buff.ly/szbhyW6 @terryfoxresearch.bsky.social

Can AI help personalize diabetes care? People living with diabetes often take multiple medications and need regular monitoring, but the information needed to personalize their treatment is often scattered and hard to find. A new DHIF project is exploring how AI can address this challenge.

Many cancer drugs showing early promise fail when tested in clinical trials, costing time, healthcare resources, and patients’ opportunities for better care. Predicting how well new drugs are likely to work could help improve how new cancer therapies are developed and avoid this. buff.ly/cnSYzwz

Combining machine learning with causal modeling helps AI understand cause-and-effect patterns in the data and why certain treatments work better in certain patients. An AI platform supporting smarter clinical trial design could offer more personalized cancer treatment decisions. #datasharing

Many cancer drugs showing early promise fail when tested in clinical trials, costing time, healthcare resources, and patients’ opportunities for better care. Predicting how well new drugs are likely to work could help improve how new cancer therapies are developed and avoid this. buff.ly/cnSYzwz

Keeping patients engaged in clinical trials can be challenging. Missed doses, declining participation and emerging safety concerns affect patient well-being and trial results; identifying patients who need additional support can place a significant burden on clinical teams. buff.ly/0kyT9am

FLARE is designed with privacy at its core. AI models train where the data already live without moving patient records. Partners learn from data across institutions; patient information stays secure. FLARE will develop tools for timely, personalized patient support and reduce care team workloads.

Keeping patients engaged in clinical trials can be challenging. Missed doses, declining participation and emerging safety concerns affect patient well-being and trial results; identifying patients who need additional support can place a significant burden on clinical teams. buff.ly/0kyT9am

Medication data is often fragmented and poorly standardized between hospitals. This can lead to preventable dosing errors and hinder medical research. This Digital Health Innovation Fund project is exploring how to enable full data shareability for AI analytics accessibility. buff.ly/hiiHtAx

Based in Montreal, the project will create a scalable system for improving daily patient safety, where safety tools automatically flag risky dosing patterns in near real-time, protecting patients and also readying Canadian hospitals for next generation AI-driven #precisionmedicine research.

Medication data is often fragmented and poorly standardized between hospitals. This can lead to preventable dosing errors and hinder medical research. This Digital Health Innovation Fund project is exploring how to enable full data shareability for AI analytics accessibility. buff.ly/hiiHtAx

Celebrating Ada Lovelace Day and women in STEM buff.ly/dO49XFk Ada Lovelace Day, an international day celebrating the achievements of women in science, technology, engineering and maths (STEM), is held each year on the second Tuesday of October.

Click through to the article to find out why data standardization and OMOP, and preparing data for federated learning are part of her day-to-day workflow, and why this work is so important for accelerating #precisionmedicine research.

Celebrating Ada Lovelace Day and women in STEM buff.ly/dO49XFk Ada Lovelace Day, an international day celebrating the achievements of women in science, technology, engineering and maths (STEM), is held each year on the second Tuesday of October.

#WorldMentalHealthDay Access to mental health care is often limited and many people wait too long to receive help. Early signs of worsening mental health are often missed. This new project supported through the DHDP Digital Health Innovation Fund is exploring how AI can help. buff.ly/0cow8cz

Using AI-augmented tools and real-time data this project will securely gather information from electronic medical records and clinical notes. AI tools will identify patterns that indicate worsening mental health to create models so that clinicians detect distress earlier and offer effective support.

#AIweek2026 Enabling faster, smarter vision care across Canada through real-world AI and secure data sharing A new Digital Health Innovation Fund project is exploring how AI can unlock insights from clinical data for early signs of eye disease like glaucoma and diabetic retinopathy buff.ly/zoQvkPP

Gathering vision data from both rural and urban areas helps develop AI-driven tools that can support clinicians in real time, reduce diagnostic delays, and improve access to care across diverse populations.

#AIweek2026 Enabling faster, smarter vision care across Canada through real-world AI and secure data sharing A new Digital Health Innovation Fund project is exploring how AI can unlock insights from clinical data for early signs of eye disease like glaucoma and diabetic retinopathy buff.ly/zoQvkPP

#AIweek2026 Canada faces one of the world’s highest rates of skin cancer, yet access to dermatology care is limited especially in rural, northern, and Indigenous communities. A new DHIF project is exploring how AI can address this, making specialist care more widely accessible. buff.ly/hjduziU

Precision medicine relies on analyzing big data for answers, often with AI to pull out patterns that the human eye cannot. But the answers it pulls out are only as good as the data that it trains on. With missing data, results generated can be biased and miss a whole section of the population.

#AIweek2026 Building a secure, patient-centred national registry infrastructure that enables health data to be used safely, responsibly, and collaboratively. EvidaHealth Foundation: National Registry Infrastructure Enabling FAIR, Federated, and Patient-Centered Real-World Evidence buff.ly/IM7UWcZ

This patient-centred registry will be built to enable FAIR (Findable, Accessible, Interoperative, Reusable) data handling for privacy-preserving AI and machine learning analytics. Integrating patient voice and secure infrastructure ensures that innovation translates into improvements for patients.

#AIweek2026 Building a secure, patient-centred national registry infrastructure that enables health data to be used safely, responsibly, and collaboratively. EvidaHealth Foundation: National Registry Infrastructure Enabling FAIR, Federated, and Patient-Centered Real-World Evidence buff.ly/IM7UWcZ

#AIweek2026 Using privacy preserving synthetic data to connect Canadian hospitals and unlock faster insights to improve patient care—funded by the Digital Health Innovation Fund (DHIF), this project leverages synthetic data for research that preserves patient privacy. www.dhdp.ca/projects/pro...

For additional security, the project partners will use federated learning, so that only the computational tools travel; the data stay safely under institutional governance. Insights could improve treatment decisions, accelerating #precisionmedicine research without compromising patient privacy.

#AIweek2026 Using privacy preserving synthetic data to connect Canadian hospitals and unlock faster insights to improve patient care—funded by the Digital Health Innovation Fund (DHIF), this project leverages synthetic data for research that preserves patient privacy. www.dhdp.ca/projects/pro...