Bio marker tracking

Theory

Frank Harrell, How to Do Bad Biomarker Research

Biomarker Uncertainty Principle: A molecular signature derived from high-dimensional data can be either parsimonious or predictive, but not both.

We have more data than ever, more good data than ever, a lower proportion of data that are good, a lack of strategic thinking about what data are needed to answer questions of interest, sub-optimal analysis of data, and an occasional tendency to do research that should not be done.

See also quantified self, personalized medicine.

Acquiring data

• inside tracker seems to roll in some analytics for biomonitors, and also suggested interventions.
• i-screen seems to be the easy one to use in Australia. Not outrageously expensive, merely annoyingly expensive.

Tools

• pacogomez/health-records: Plain text health records
• heedy/heedy: An aggregator for personal metrics, and an extensible analysis engine
• heedy/heedy-notebook-plugin: Use Jupyter notebooks in Heedy

Incoming

• markwk/awesome-biomarkers: Curated List of Biomarkers, Blood Tests, and Blood Tracking
• Iron deficiencies are very bad and you should treat them
• Does Metformin Work as an Anti-Aging Drug?
• If you’re diabetic, don’t wait for your smartwatch to replace your needles - The Verge
• Blood oxygen monitors face scrutiny from FDA panel - The Verge

References