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Category: AI

Medical Affairs Has a Communication Problem: MAX 2026 Challenged the Field to Fix It

On March 25, 2026, I attended MAX: Medical Affairs eXcellence Forum, Canada’s first forum dedicated entirely to medical affairs in biopharma. Organized by Agilis Health and held at the Sheraton Toronto Airport, it brought together 140+ professionals spanning Medical Affairs, Pharma, Clinical Research, Regulatory, and Medical Communications for a full day of candid, high-calibre conversation. …

AI in Healthcare (4): The System Will Augment You Now — Hospital AI Integration Done Right

In the first three articles of this series, we looked at AI where people can see it: reading scans and drafting treatment plans, tutoring students and simulating patients, and even helping design the next generation of medicines. But some of the most profound changes are happening out of sight, in the operating system of the …

AI in Healthcare (3): The Molecule Will Design Itself Now—AI in Drug Discovery

Traditional drug development is one of the most expensive and failure-prone endeavors in science. Bringing a new drug to market typically takes over a decade, with cost estimates exceeding two billion dollars and failure rates upwards of 90% [1]. Less than 10% of target drugs even make it to Phase I Trials. AI is now …

From Promise to Practice: AI in Medicine, Five Years On- Key takeaways from the Temerty Medicine Talk

Artificial intelligence is reshaping medicine faster than most health systems can keep up, and few people have a clearer view of that frontier than Dr. Muhammad Mamdani, director of the University of Toronto’s Temerty Centre for AI Research and Education in Medicine (T-CAIREM). On Friday we listened with interest as Dr. Mamdani spoke candidly about …

AI In Healthcare (1): The Machine Will See You Now — AI in Diagnostics

AI has moved far beyond the hype in healthcare and into diagnostics: AI systems are now reading scans, drafting notes, assessing risk, and even proposing treatment options. But as the pace accelerates, so do clinicians’ concerns about skill erosion, liability, and whether AI can truly deliver on what it promises. This article opens a four-part …