Summary
Placeholder summary. Replace with the abstract once the manuscript is finalized. The paper covers BioTwin’s biometrics framework: how repeated finger-prick measurements are normalized into per-individual trajectories, how cross-batch variability is handled, and how the resulting longitudinal model is validated against independent cohorts.
Why it matters
Most biomarker science still treats lab values as one-shot snapshots. This paper lays out the case, with data, for treating biology as a trajectory and for evaluating change against an individual’s own baseline rather than a population reference range.
Authors
To be confirmed.