Library · Diagnostics

Tests, scans, and sequencing — read the signal, not the noise.

Modern diagnostics generate more data than most clinicians have time to interpret. We cover what each test measures, the population it was validated in, the false-positive rate, and the actions a result should and should not trigger.

Reviewed by
Biosphere Medical Advisory Board
Last updated
May 2026

Key takeaways

Pre-test probability rules

A test's positive predictive value depends on how likely the condition is before the test. Screening low-risk populations produces mostly false positives, even with 'accurate' tests.

Reference range ≠ optimal

Lab reference intervals describe the middle 95% of the testing population — not a healthy target. Ferritin, vitamin D, and TSH ranges in particular invite over- and under-treatment.

Genetics is probabilistic

Most common variants shift risk by single-digit percentages. Polygenic scores are improving but rarely change individual management today.

Incidentalomas have a cost

Whole-body MRI and full-body CT find 'something' in 15–30% of healthy adults. Most are benign, but the workup carries real morbidity, cost, and anxiety.

Articles in this topic

Lipids
Agrade
11 min
Lipids
A−grade
10 min
Inflammation
Agrade
9 min
Imaging
Agrade
9 min
Imaging
C+grade
12 min
Imaging
Agrade
7 min
Genetics
A−grade
11 min
Genetics
Agrade
10 min
Genetics
B+grade
9 min
Microbiome
C+grade
8 min
Wearables
Bgrade
9 min
Cancer screening
Bgrade
13 min