> they expect that your data comes at a very regular interval

Does prophet rely on this assumption? For health timeseries data the tool of choice is survival analysis - typically using Cox proportional hazards regression or similar regression tools that are able to handle irregular or censored data.

I've seen some moves towards using fancy bayesian or fancier machine learning stuff for clinical trials but a big issue is that they are very difficult to communicate to their intended audience.