Topic

Analytics

14 articles on Analytics in the Lab2go blog, newest first.

The analytics articles show how to collect, analyze and chart lab results, wearable data and self-experiments in a structured way. The focus is on method and data quality rather than individual readings.

14

articles

  1. 10 min

    From PDF to Insight: Importing Lab Reports Automatically

    5 blood panels from 2 years digitized in ~1.5 hours. How PDF import works in practice — OCR, marker recognition, unit conversion and what needs manual review.

  2. 10 min

    Reading Biomarker Trends: How to Interpret Your Charts

    One data point shows no course. Three data points show a direction. Here is how to read stable trends, outliers and downward movements in your biomarker charts.

  3. 9 min

    lab2go Tutorial: Scan and Track Your First Blood Values

    Lab report on the kitchen table — now what? How to digitize your blood values, see your history at a glance, and avoid the most common beginner mistakes in biomarker tracking.

  4. 13 min

    CGM Sensors: Continuous Glucose Monitoring Guide

    What CGM measures, which metrics such as Time in Range are evaluated, how readings are interpreted, and where its limits lie.

  5. 11 min

    Resting Heart Rate & Fitness: What the Value Measures

    How is resting heart rate measured, what influences it, and what do studies describe about training and risk? With the classification of the American Heart Association.

  6. 12 min

    Sleep Tracking: Which Metrics Actually Matter

    What sleep efficiency, deep sleep and SpO2 mean, how dependable wearable data is and why trends say more than single nights.

  7. 12 min

    Understanding HRV: What Heart Rate Variability Measures

    RMSSD, SDNN, trend instead of daily value: what HRV measures, how measurement methods differ and what studies describe about training, breathing and cold.

  8. 13 min

    N=1 Experiments: Understanding Self-Tracking

    One variable, 2–4 weeks baseline, 8–12 weeks observation, washout: how N=1 self-observations are structured methodologically.

  9. 13 min

    Understanding Reference Ranges: What They Do and Don't Say

    Vitamin D 30–100 ng/ml according to the lab, and narrower figures elsewhere without a source? How to tell the statistical lab reference from figures with a named source.

  10. 14 min

    Supplement Interactions: Matrix of Interactions 2026

    Iron and calcium, vitamin D and K2, biotin and lab values: a neutral overview of described interactions with medications and possible risks.

  11. 14 min

    Designing Biomarker Panels: Which Values to Test Together

    Single markers deceive. How panels are built with cluster logic: longevity, heart, hormones, thyroid, metabolism — with prices.

  12. 5 min

    Archive Lab Values Like a Data Warehouse

    Stop losing lab values in email threads. Build a searchable archive with OCR parsing, context tags, and permissions in under a week.

  13. 12 min

    Health Analytics Blueprint: CSV Chaos to KPI Wall

    Turn scattered health CSVs into a 3-layer analytics stack with alert logic, chart types, and automated insights in under 2 weeks.

  14. 8 min

    Wearable Data Quality: Filter Noise Before the Insight

    Not every HRV spike is stress. 3 quality gates, manual overrides, and biomarker syncing — here's how to make wearable data genuinely usable.