Platform

A configurable clinical interpretation layer for cardiometabolic and preventive longevity care.

MPS turns physiologic measurement data into structured, defensible decision-support — configured to your protocols, delivered into your clinical workflow, and licensed at the institutional level.

Capability map

Six clinical capabilities under one licensed platform.

Each capability is configurable to fit your institutional protocols, panel composition, and reporting standards — and reviewable by your clinical leadership during onboarding and at every release.
01 · Risk synthesis

Composite cardiometabolic risk stratification

Multi-domain composite assessment across cardiorespiratory fitness, DEXA-derived body composition, visceral adiposity, and neuromuscular strength. Surfaced as a transparent index with each contributing axis broken out for clinician review.

  • InputsVO₂max, VAT, ALMI, grip strength, and longitudinal measurement history
  • OutputsHealthspan Index, Biological Fitness Age, Sarcopenia Risk Score, axis-level breakdown, contribution attribution, trend signal
02 · Measurement layer

Physiologic measurement interpretation

Normalization, reference framing, and flagging across CPET or VO₂max estimates, DEXA body composition, and dynamometry — with logic that goes beyond isolated device readouts.

  • CoverageCardiorespiratory fitness · Visceral adiposity · Appendicular lean mass · Grip strength · Longitudinal trajectory
  • Reference logicAge/sex-aware, device-aware, longitudinal-aware
03 · Scoring

Healthspan and fitness-age scoring

Structured outputs that translate multi-domain physiologic testing into a Healthspan Index, Biological Fitness Age, and focused risk scores such as sarcopenia risk — giving clinicians a stable language for similar patients across the program.

04 · Trajectory

Cardiometabolic trajectory

Longitudinal trend analysis across measurement cycles — direction, magnitude, and stability — to surface whether an individual is improving, stable, or drifting against their own historical baseline, not only against population reference ranges.

05 · Recommendations

Clinician-ready recommendation layer

Configured to your institutional clinical protocols. Recommendations are structured, transparent, and reviewable — never autonomous. Clinicians own every decision; MPS provides the synthesis and the defensible reasoning trail.

06 · Reporting

Standardized clinical report

A consistent, institution-branded clinical document delivered into the EHR or downstream document workflow. Every clinician produces the same structure; every patient receives the same calibre of synthesis.

Positioning

What MPS is — and what it is not.

Clarity on positioning is part of how we earn enterprise diligence. MPS is a clinical decision-support layer; everything below is intentional.

MPS is

  • Decision-supportA clinical interpretation layer that augments — never replaces — the licensed clinician’s judgement.
  • ConfigurableMeasurement tiers, risk thresholds, score displays, and reports are configured to fit institutional protocols.
  • TransparentLogic, thresholds, and reference ranges are documented, version-controlled, and reviewable.
  • Enterprise-licensedLicensed by health systems, longevity platforms, and clinical programs at the institutional level.
  • Integration-readyBuilt for HL7v2, FHIR, and structured EHR document workflows.

MPS is not

  • A diagnostic deviceMPS does not diagnose disease, prescribe treatment, or replace clinical judgement.
  • FDA-clearedMPS is positioned and operated as decision-support; it is not currently FDA-cleared.
  • A consumer wellness productNot sold to consumers, not a coaching or quantified-self tool.
  • Sold to individual physiciansLicensed at the institutional level, not as a per-physician tool.
  • A static calculatorMPS is a configurable clinical workflow and reporting system, not a one-off spreadsheet or single-score calculator.
Validation posture

Cohort-informed outputs, built for clinical review.

MPS is patent pending and remains a clinical decision-support platform. Its proprietary outputs are intended to organize physiologic signal, not diagnose disease or replace clinical judgment.
Clinical evidence

NHANES-informed validation work

Apogee has evaluated MPS-style composites against NHANES-derived cohort data to test whether included physiologic domains add clinically meaningful stratification beyond age and sex. That work supports continued development of Healthspan Index, Biological Fitness Age, and sarcopenia-related outputs for clinical decision-support workflows.

Roadmap

2027 vascular and imaging domains

Arterial stiffness and CCTA-derived plaque metrics are planned 2027 clinical vertical extensions. They are referenced as pipeline domains only; current MPS clinical outputs are centered on VO₂max, DEXA-derived body composition, VAT, ALMI, grip strength, and longitudinal physiologic trajectory.

Walk through the platform with the team that built it.

Briefings include capability deep-dive, configuration approach, integration model, and a sample report walkthrough — tuned to your service line.

Request a briefing See clinical workflow