Where AI Can Help in Regulatory Affairs�and What Must Stay Human
Regulatory work attracts AI for an obvious reason: it contains large volumes of documents, repeated structures, distributed evidence, and intense review effort. It also punishes false confidence. A fluent draft can omit a qualification, rely on the wrong version, blur a regional difference, or make an unsupported connection sound settled. The right ambition is therefore […]
The Enrollment Problem: Where AI Can Improve Clinical Trial Planning
Clinical-trial enrollment is often described as a recruitment problem. By the time recruitment is visibly behind, however, the causes may reach back months: protocol burden, optimistic feasibility, site mix, startup delays, competition, geography, referral pathways, or data that arrived too late to change the plan. AI cannot make those causes disappear. It can help a […]