Let's look at how this would work.
You would start with a baseline measurement of your condition and your rate of progression of the disease.
Working with your medical team, you would select from a menu of existing therapies and candidate therapies (that is therapies that have been tested as safe, but which haven't been proven as efficacious). You would continue to measure your condition, probably on at least a daily basis.
What outcomes might there be? Well, your condition might continue to deteriorate at least as fast as before. In this case, you would stop using the therapy, and go on to consider other therapies. (Note that in this case you are saying that the therapy hasn't worked for you, and not that the therapy doesn't work full stop.) Alternatively, your condition may improve. In this case you would continue with the therapy, but continue to take frequent measurements. (Note that in this case you are saying that the therapy is working for you, and not that the therapy works full stop.) If later on results got worse (perhaps it was a placebo), you would discontinue the therapy.
All data would be open so other people can see whether the therapy has worked for you and others. They would use this information to help make their decision on whether to try this therapy.
Crucial to this approach is good measurement and open data. The reward is a system that learns how best to treat people in a personal way and that accelerates the introduction of focused therapies.