During my medical training, we were taught that if a patient responds to a treatment, it doesn’t necessarily mean that every patient will respond in the same way. The results in a single patient might be due to chance so it was important to look at the results of well-designed research studies before we could conclude that the treatment really worked. In statistics, “N” refers to the sample size in an experiment so we referred to these individual observations as “N-of-1” experiments (and we did not look at them very favorably).
Unfortunately, there are lots of problems with research studies – they take a long time to complete, the patients in the studies are very carefully selected and may be very different from you, there is often bias in the way the results are interpreted, etc.
What if doctors and patients had tools that allowed them to design high-quality experiments specifically for the individual patient?