Scores from published scientific methods, computed from lab results and self-reported data, with every input and formula visible. Repeat results come together on one timeline.
Every result shows how it was calculated. Where inputs are missing, we say so instead of guessing.
Established measures from the scientific literature, each with its inputs and formula shown.
Repeat lab tests and daily check-ins for mood, energy and symptoms, side by side over time.
Mood and energy analytics based on the Thayer energy–pleasure model, with AI-written summaries.
Each score follows its published method, uses normalised units from our document pipeline and only runs when its inputs are available.
Levine PhenoAge, computed from a standard set of blood markers.
A combined measure across several physiological markers.
Derived from triglycerides and HDL cholesterol.
Body and metabolic measures from lab and self-reported data.
Computed when both values are present in the record.
Show participants how their measures change over time, with a clear explanation of each one.
We implement measures described in a paper or protocol and apply them to your data.
Add explainable scores and timelines to your product through our APIs.
Yes. If a measure is clearly described, for example in a paper or a protocol, we implement it and show how it is calculated.
No. HL7® FHIR® is one way to bring data in. We also work with exports in other formats.
For projects, the analysis runs on infrastructure hosted in the EU. We agree the setup before any data is shared.
No. Scores are computed from published formulas. They describe and compare; they do not diagnose. Healsens is not a medical device.
Tell us what you are working on. We reply by email and, where it fits, suggest a short call to look at a sample together.