Most models are still trained on methylation data, all associations are true only at the population level. Great metric for global health/policy making/cohort-based analytics.
But, for an individual, due to high variance throughout the day, we can not conclude much out of this at its face value without adding a huge uncertainty window. Terrible for personalised decision making on supplements, etc
Most models are still trained on methylation data, all associations are true only at the population level. Great metric for global health/policy making/cohort-based analytics.
But, for an individual, due to high variance throughout the day, we can not conclude much out of this at its face value without adding a huge uncertainty window. Terrible for personalised decision making on supplements, etc
Reeks of AI
I use AI a lot, but this one was actually written by me across 3 days!