7 posts
A quantitative high-sensitivity CRP assay, repeated on a schedule and paired with a CBC differential, is the only at-home inflammation measurement worth acting on. Here is how to collect it, when to collect it, and how to analyze the series.
How to choose an at-home C-reactive protein test, why the high-sensitivity assay matters, and how to analyze repeated CRP measurements without fooling yourself with biological noise.
89 mg/dL is a normal glucose value, but a single number carries less information than most people assume. Here is how to read it given measurement error, and what to compute from a CGM trace instead.
Why a post-meal glucose reading in the 80s is usually a healthy result, why you can feel shaky at that number anyway, and how to tell a real reading from sensor noise using your own CGM and lab data.
The 56-biomarker performance panels sold as a full-body MOT test the wrong thing in the wrong way. Here is the panel we would order, how to control preanalytics, and how many repeats you need before a number means anything.
Why array-based consumer kits cap out fast, what a 30x whole genome resolves and which files to request. Includes a pipeline for analyzing the data.
Monthly blood work is physiologically safe for almost everyone, but most analytes change slower than the noise floor of the assay. Here is how to pick a testing interval per marker, standardize the draw, and detect real change in your own data.