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Medicine is going to become more and more personal as we enter the age of AI. Vitamin D may be beneficial for certain individuals but may not show any significa

Medicine is going to become more and more personal as we enter the age of AI. Vitamin D may be beneficial for certain individuals but may not show any significance in major populations. The same thing as diets, certain drugs, and other vitamins/minerals. What I find saddening is that certain researchers will jump straight into a RCT of vitamin D for upcoming diseases as if that will do anything of significance. There are some devout vitamin D followers out there just like there were with vitamin C. One of the biggest risks of vitamins is contamination similar to the tryptophan incident in the 90s. Nobody has to prove safety or efficacy to sell them although they are generally safe to use until some accident happens and they aren’t.

nyrikki 3y ago
Please explain, outside of searching for population level patterns, AI will help here. Population level statistics has lead to a large number of algorithms that have been proven wrong for medical conditions. BMI, dietary cholesterol, vitamin D, etc... Auto differentiation is an incredible tool, but I don't see how it will truly be a 'miracle' like vitamin D, which in hindsight is clearly over fitting combined with a correlation that wasn't acausal connection. ML is extremely powerful, but not for individuals for the same reason statistics is great for populations but not individual. This is the 'common sense' problem that both fields struggle with and need to correct for. Ethical problems with empirical testing in humans complicating the problem when applying ML or statistics to medical problems complicates that too.
- thenerdhead 3y ago
  Predictive analysis of Vitamin D deficiency & potential disease progression based on the individual. Personalized intake recommendations. Comprehensive health assessments from various health sources (labs, wearables, etc). Monitoring vitamin trends through health assessments w/ time & overall wellness. Reading and applying latest research/clinical trials to all the above.

nyrikki 3y ago

Please explain, outside of searching for population level patterns, AI will help here. Population level statistics has lead to a large number of algorithms that have been proven wrong for medical conditions. BMI, dietary cholesterol, vitamin D, etc... Auto differentiation is an incredible tool, but I don't see how it will truly be a 'miracle' like vitamin D, which in hindsight is clearly over fitting combined with a correlation that wasn't acausal connection. ML is extremely powerful, but not for individuals for the same reason statistics is great for populations but not individual. This is the 'common sense' problem that both fields struggle with and need to correct for. Ethical problems with empirical testing in humans complicating the problem when applying ML or statistics to medical problems complicates that too.

thenerdhead 3y ago
Predictive analysis of Vitamin D deficiency & potential disease progression based on the individual. Personalized intake recommendations. Comprehensive health assessments from various health sources (labs, wearables, etc). Monitoring vitamin trends through health assessments w/ time & overall wellness. Reading and applying latest research/clinical trials to all the above.