How the channel uses this term In this channel's material, the N-of-1 study appears in the context of AI's shift in science and medicine: away from broad theories that describe populations, and toward individual, contextual predictions tailored to a single person or case. An N-of-1 study is the extreme end of that shift — a study where the sample is one individual, and the evidence is built around that person's specific context rather than averaged across a group. Why it matters here The discussion of data-first science helps explain the appeal: when the underlying data is published alongside conclusions — including failures and edge cases — it becomes possible to build understanding that is contextual and individual rather than only general. This is part of how AI is reshaping what scientific evidence can look like in medicine. - An N-of-1 study is a study built around a single individual as the unit of evidence. - It connects to the channel's theme of moving from broad, population-level theories toward individual, contextual predictions. - Data transparency — sharing underlying data, not just successful outcomes — is what makes such individualized evidence usable.