| Why is the medical profession obsessed with biomarkers but not the next optimal step in patient treatment plans? Root cause analysis of dysfunction in complex dynamic systems is a waste of energy. Someone has the biomarker but they are a heroin addict which confers them a protective mechanism. What then? If you have 5 heroin addicts with similar symptoms you can just experiment with likely beneficial next treatment steps. Then let machine learning track the treatment response patterns and reccomend next treatment steps. Grouping health histories and symptons then recording responses to treatment plans then using machine learning to recommend next treatment steps is - surely better than searching for biomarkers so Drs can stick their hands up faster. Rockefeller gave us the Johns Hopkin Medical System , Can’t Bill Gates give us the complex chronic illness extension? Why don’t Doctors have a 300 question questionaire for patients covering all aspects of the patients health? You could then group the patients into health dopplegangers. No need for biomarkers. Combine the good part of alternative medicine ( carefully understanding the patients symptons) with machine learning. There’s 8 billion humans. There are alot of sympton dopplegangers out there to experiment and record the effects of next treatment steps on. Medical professionals are obsessed with being trivial pursuit champions and seem to lose sight of the fact that they’re often invited to play invisible bridge. It is fantastic that they are great at trivial pursuit (The Johns Hopkin system is a modern marvel) and they do untold good above and beyond the measure of most citizens and far far more than myself but doing good doesn’t cure complex chronic illnesses. (I admire Doctors). But it’s frustrating that we have to pretend that because Dr’s are great in one area (acute medicine) that the greatness translates to other areas. The halo effect is really strong. Look up the research for recovery rates from cfs. Abysmal. |