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 …
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 …
Continue reading “AI in Healthcare (3): The Molecule Will Design Itself Now—AI in Drug Discovery”
In the first article of this series, we looked at how AI is already reading scans, flagging sepsis, and even suggesting treatment options at the bedside. If diagnostic AI is reshaping how doctors practice, the next wave is reshaping how they learn. Large language models, generative tools, and virtual patient simulators are moving into medical education, promising more personalized, …
Continue reading “AI in Healthcare (2): The Doctor Will Prompt You Now — How AI Is Rewriting Med Ed”
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 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 …
Continue reading “AI In Healthcare (1): The Machine Will See You Now — AI in Diagnostics”