SuperTruth × imaware × BioPhy

The baseline held, and it learned.

Building adaptive baselines for deeper insights

Most platforms treat lab data as static snapshots. BioPhy, an AI-driven pharmatech company, worked with imaware and SuperTruth to test a living baseline instead: lab biomarkers, device inputs, and demographics as one evolving record that gets more precise with every layer added.

BioPhy

BioPhy is now Intrinsic BioPhy, part of Intrinsic Clinical Systems.

Source: the imaware case study →

The challenge

Biomarkers without context

Lab-based biomarker data, device data, and demographic inputs lived apart. Connecting them at scale is what unlocks personalized, one-to-one health insights, and nobody had a repeatable way to do it.

The goal

A baseline that evolves

Explore how a modular, evolving baseline could support dynamic biomarker analysis: accurate, personalized recommendations, so people can proactively manage their health.

The solution

Three layers, one living baseline

imaware

The samples

Structured, anonymized baseline lab results for individuals via validated at-home collection and clinical lab integration.

SuperTruth

The living data layer

Ingested the lab results into a live, query-ready data layer, with contextual enrichment that becomes more precise over time.

BioPhy

The science

Analytic capability with scientific research and rigor, testing how added data fields improve health summaries and reveal deeper insights.

Results

Four results, and no starting over.

Additions changed answers

Incremental biomarker additions integrated successfully and changed recommendation outcomes: the baseline adapts instead of ossifying.

Built for after launch

The infrastructure accepts new variables post-launch without disrupting the user experience.

Correlations surfaced

The analysis found meaningful correlations between biomarker combinations and self-reported health inputs.

A framework that scales

A demonstrated path to scalable interpretation, supporting more personalized recommendations with each layer of data.

Why it matters

A living baseline model evolves with added biomarkers and contextual data, unlocking more robust interpretation with each layer. That means faster insights for digital health platforms, more relevant guidance for their customers, and a path to better trial design without starting over.

Intrinsic BioPhy

BioPhy today: Intrinsic BioPhy

BioPhy was acquired by Intrinsic Clinical Systems and continues as Intrinsic BioPhy, applying its regulatory research engine to quality and compliance work across pharma.

Intrinsic BioPhy →

The other half of the story

The same imaware records behind this baseline power the flagship case study: 105,000 diagnostic records, analysis in two hours instead of three weeks.