There is a strange paradox taking shape in aesthetic medicine, predicated in large part by GLP-1 therapies for weight loss. No longer a niche treatment, a Gallup survey conducted in May and June 2026, reported that 11% of US adults are currently taking a GLP-1 medication for weight loss, up from 3% in 2024 [1]. …
Continue reading “THE GLP-1 FILES, PART 1: Digging Holes to Fill Them?”
On April 2, 2026, the U.S. Food and Drug Administration issued a warning letter to a Michigan-based manufacturer of drug products called Purolea Cosmetics Lab. At first glance, it looked routine: cGMP violations, missing process validation, inadequate quality controls. But buried in the letter was something unprecedented: a dedicated section titled “Inappropriate Use of Artificial …
Continue reading “FDA Just Issued Its First AI Warning Letter: Medical Affairs Should Pay Attention”
On March 30, 2026, I attended RISE Together: Data Sharing Across the Rare Disease Ecosystem [1] expecting a discussion about the platforms and infrastructure needed to move data more efficiently across systems. Instead, what surfaced over the course of the day was something more fundamental, and more difficult to resolve. The rare disease field is …
Continue reading “When the Data Exists but Doesn’t Travel: Lessons from RISE Together 2026”
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. …
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”