01 / Get the app
Check your device
The App Store lists current pricing, availability, and compatible Apple devices. No dedicated BioMIR wearable is required.
The BioMIR app
Start with today’s biomarker-informed picture, follow prioritized actions through check-in, and examine how the record develops over time. Dashboard and Trends connect model contributors, daily observations, recorded follow-through, and separately dated clinical clocks. Explore the scientific framework and validation status when you want to go deeper.
Getting started
01 / Get the app
The App Store lists current pricing, availability, and compatible Apple devices. No dedicated BioMIR wearable is required.
02 / Connect Apple Health
Allow compatible apps and devices to write data to Apple Health, then authorize BioMIR to read the relevant categories. Follow the data setup guide.
03 / Explore
Try simulated Demo Data to learn the views. With your own data, check input support and source dates before interpreting the estimate.
Adaptive BioAge tracks 15 active inputs: six Behavioral, six Functional, and three Cardiometabolic anchors. Meditation is not an active scoring input. The architecture guide lists them. Available results depend on the records BioMIR can read; missing inputs reduce data support. Methods documents eligibility and fallback rules.
Demo Data lets you explore without personal laboratory records. KDM and Levine PhenoAge are additional, separate views that require eligible laboratory inputs. They are not part of the daily Adaptive BioAge composite.
A connected device must actually write the relevant data to Apple Health. Check its companion app, Health permissions, and record dates. BioMIR retains eligible prior cardiometabolic and clinical results with their original dates; Freshness shows how recent those data are.
Historical nutrition logs may remain in another app or platform without appearing in Apple Health. BioMIR Backfill is a free companion utility designed to import compatible nutrition CSV data into Apple Health. Source code is available for developer installation; review compatibility and installation requirements.
01 / Today
See Adaptive BioAge as a model output expressed in age-equivalent units alongside Behavioral, Functional, and Cardiometabolic contributions. Negative or positive Δ-years mark position on the model’s reference scale; they are not rewards, penalties, or lifespan measurements. In the current provisional model, the Behavioral contribution is signed and bounded, the Functional contribution is adverse-only and bounded, and Cardiometabolic Age is the principal uncapped anchor. Learn how to interpret Δ-years.
See a short, prioritized list of practical suggestions. When signals point to the same commitment, BioMIR brings them together so you can focus on one clear step. Add an action to your plan, then record whether you completed it. The action levels organize product suggestions; they are not clinical severity ratings or validated treatment doses.
Reclaimed BioAge (REC) is BioMIR’s distinct, action-linked biological-age model. It reports modeled ΔYears credit earned from completed eligible actions relative to eligible opportunities, while retaining skipped and unreported actions in period accounting. Explore REC alongside Adaptive BioAge and later biomarker observations to compare recorded follow-through with subsequent physiological trajectories.
Use Explain or Voice for an on-device interpretation of the estimate, its leading contributors, and a suggested next step.
On iPhone, configure the Today experience and expand or collapse supported cards. Data Confidence stays visible alongside the results.
to open the ranked list. Before check-in, tap
to plan or to consider an action; use
to undo a selection or
to reset. At check-in, record
for a completed action or
02 / Today Actions & REC
See it all together in Today Actions: what’s planned, what’s completed, and what’s still suggested. Sort by contribution or status, open a biomarker for more detail, and use Undo or Reset whenever your plans change.
Tap a recommendation’s biomarker icon or name, or its action text, to open the mapped app or destination. Some links open an App Store listing or general app page; if the app is installed, tap Open and navigate to the relevant feature as needed. Opening a link does not start or configure the activity, mark it planned or done, verify completion, or award Reclaimed BioAge credit. Available Health data can support selected activity measures, but cannot confirm every recommendation or its context.
Today Actions gathers a short list of practical suggestions, ordered by the signals BioMIR highlights. Four graduated action levels organize the suggestions using available biomarker context. They are product guidance, not clinical severity ratings or individualized treatment prescriptions.
Recommendations can look back so the next choice comes sooner. Yesterday’s recorded alcohol or sodium intake can support an action today, even before another entry is logged. Supported seven-day persistence and trend also help prioritize Behavioral and Functional actions within modeled contribution bands. Check the dated explanation beside the suggestion; earlier intake is not added to today’s Behavioral score. The written action level is selected separately from the associated measurement.
The rule structure draws on clinical decision-support principles that distinguish triggers, conditions, and actions, research on using context at decision points, and guidance on planning, monitoring, and feedback. These sources inform the design; they do not validate BioMIR’s timing or ranking rules. For alcohol-related follow-up, NIAAA brief-intervention guidance informs the feedback-and-planning context; it does not validate BioMIR’s recommendations. HL7 FHIR · Nahum-Shani et al. (2018) · NICE PH49.
Related signals can point to the same behavior, so a shared action can appear once instead of repeating the same request. Before your optional check-in, you can mark an action Suggested, Considered, or Planned. At the selected check-in time, record Completed or Skipped for the current day; you can correct that report before the day rolls over. After rollover, the prior day remains in REC history but cannot be edited from Today. Only explicitly recorded completion earns REC credit; skipped or unresolved actions earn none, while their eligible opportunity remains visible in the history. An unresolved action means no completion was recorded, not proof it did not occur. REC status is self-reported and not independently verified. You can turn off check-in in Settings.
REC is a separate action-linked biological-age model. It reports modeled ΔYears credit earned from completed eligible actions against the selected period’s frozen eligible opportunities; skipped and unreported actions remain in the accounting but earn no credit. A completed or skipped status is not independently verified, and REC credit is not biological-age reduction or proof that an action caused a later change. Modeled Behavioral contributions are bounded. Later Functional and Cardiometabolic patterns can be explored alongside these records, without assuming that the recorded behavior caused a change. Learn how Reclaimed BioAge works. You can also choose which longitudinal patterns may send an optional alert.
The optional action reminder sends one daily notification at your selected check-in time, initially 8 PM. End-of-day check-in must be on before the reminder can be enabled. Allow notifications to receive it, or turn it off in Settings → Action Check-in. Tap the notification to review Today Actions and record whether you completed or skipped each action. It never automatically completes actions or awards REC credit. Manage action status in Today Actions. Use one preferred device to avoid duplicates. Demo sends no reminders. Generic notification text contains no biomarker values; delivery depends on notification permission, Focus and system scheduling.
03 / Dashboard
For biological-age model construction, read Model specification; for exact model and statistic rules, consult Methods.
See Adaptive BioAge with Behavioral, Functional, and Cardiometabolic contribution dials plus the current health-status classification in one dashboard.
Open a domain ring and select a biomarker to inspect its recorded value, dated source, modeled contribution, and suggested action. Detail sheets also provide persistence, trend and REC accounting summaries.
Tap a ring to open its detail view, then open a ranked contributor/chevron for the biomarker’s original value, units, source dates, contribution and recommendation. Day/N shows rolling Persistence above Trend; aggregate STAT shows the selected-period Persistence table (or REC Adherence table) on the left and fitted Trend on the right. Native Persistence tables have Band, ΔYears and N. The REC Adherence table uses the same columns: ΔYears gives each REC credit-band interval and N counts qualified opportunity days. Bands are No credit (0), Low [−3,0), Medium [−10,−3), and High <−10. REC Summary reports action completion and reclaimable/reclaimed opportunity separately. The Adherence ring offers Completed Actions (%) by default and Reclaimed ΔYears (%). Completed Actions counts completed eligible actions over all eligible actions. Reclaimed ΔYears weights earned credit against eligible opportunity for the same day. Unresolved actions earn zero and stay in the denominator; unavailable support is not zero. These are records of reported follow-through and modeled credit, not independently verified behavior or measured age reversal. REC has no biological Persistence distribution. Detail plots show observed daily values in the matching band colors around a solid fitted line colored by slope direction. Before the configured check-in, unresolved Suggested, Considered, or Planned actions are pending; after check-in, unreconciled actions are unreported. Completed actions earn credit; skipped and unreported actions earn zero. Since daily REC credit is zero or negative, a positive fitted slope means values are moving toward zero, not that positive credit was earned. REC HUD rows match ABA’s three-column layout: biomarker name, native value, then earned credit. In κ mode, native biomarker values remain period means. The small β₁ label gives the fitted rate in ΔYears/yr; sparse calendar labels identify its interval. Read it with the period/stat context and About Data Quality; unavailable support remains explicit.
Long-press the Cardiometabolic ring to change the reporting period and statistic, including daily through yearly views and Daily values (N), Mean (μ), Median (x̃), and Fitted Endpoint (κ) where supported. Dashboard and Trends share these selections, keeping the analytical context connected as you move from a trajectory to its domain and biomarker contributors.
Long-press the center ring to open the BioClock selector, swipe through available clocks, then tap to commit your selection. KDM and Levine PhenoAge are available when eligible clinical-panel data are present. Tap an active ring to inspect its contributors.
Inspect the dated KDM and Levine PhenoAge clinical panels, their multi-year summaries, and saved laboratory records. Open the technical guide for exact fitting windows, statistics, and editing behavior.
For KDM or PhenoAge, choose Mean, Median or κ and open the detail sheet. It uses the trailing five calendar years ending at the selected period cutoff, capped at today, even when the toolbar says Month or Quarter. Mean and Median summarize panel ΔYears; κ estimates the cutoff value from actual panel dates and can extrapolate beyond the latest panel. Contributor Yrs counts distinct sampled years, while the fit and Persistence retain actual dated-panel support. The main chart still shows held panel steps. Day/N retains its rolling clinical history, and CMA retains its daily cadence. Read the clinical interpretation guide.
04 / Trends
Switch among daily, weekly, monthly, quarterly, and yearly periods while the chart and summary table stay synchronized to the same longitudinal window. The landscape header shows its period; iPhone table view provides previous/next arrows around it.
Use raw values, mean, median, fitted-trend endpoint, and confidence-interval modes where supported to examine the same series at different analytical resolutions.
Start with ABA Trend, ABA Persistence and REC Adherence for the visible window. Selecting a domain HUD changes Trend and Persistence to that domain; selecting REC pairs its earned-credit Trend with ABA Persistence. Trend stays fixed to the visible window. In N-mode (D, W and M), all companions keep daily-mean visible-window context. Outside N-mode, a selected HUD synchronizes Persistence and REC Adherence to its bucket; without a selection they keep the visible window. Persistence shows the percentage of qualified values above +3 ΔYears; its heading explains the model-defined threshold and its interpretation. Adherence defaults to Completed Actions (%) and also offers Reclaimed ΔYears (%), with distinct action-count and opportunity-weighted denominators. Read the chart guide.
Use the selector in the period/stat bar to alternate between the charts icon and the table icon. The charts view has three equal sections: one row in portrait and one column in landscape. No separate Trend mode is needed. Domain and period badges identify each inspection, while Window identifies the scope of the regression.
Trend is one straight regression line across the selected domain’s supported displayed values in the visible window, with ΔYears on the vertical axis. It is not a sequence of within-period rates. Changing the domain, window or chart values changes the fit; scrubbing within the same domain does not. The line stays within its observed date span and is descriptive, not a forecast. Where shown, β₁ reports its annualized slope in ΔYears/yr. Red, gray and blue describe rising, near-zero and falling slope, not whether the plotted level is above or below zero. Read the distribution and trend definitions.
Press and drag on a plot to inspect a date or interval. The composite Adaptive HUD dynamically ranks all supported individual biomarkers from worst to best for the selected date or interval, showing biomarker values and signed Δ-year contributions. Missing values remain explicit. Drag its circular move handle to reposition it; its transparent frame lets you select plot points beneath it while keeping selected values visible. Explore Adaptive BioAge, domain contributions, underlying biomarker data, Data Confidence, and freshness. Follow the available detail routes to understand the biomarkers behind the modeled result, with Dashboard using the same period and statistic. HUD rows are informational; open biomarker detail through the domain contributor views. Read persistence, trend, counts and missing-data definitions.
Domain HUDs keep biomarkers in a fixed order so you can follow drift across the selected period. Their inputs also appear in the dynamically ranked Adaptive BioAge HUD, providing complementary views of the same record.
Behavioral and Functional contributions use curves with signed area shading; Cardiometabolic uses a thin line and Adaptive BioAge a prominent composite line, and dated KDM and PhenoAge results as steps. Their observation cadences remain distinct: a carried clinical result is not a new laboratory measurement.
Overview sets its Y-axis from the historical minimum and maximum of the selected series, independent of the visible window. Both Overview zoom levels preserve that historical scale; hidden series do not affect its bounds. Focus supports closer, window-based inspection. Changing the view changes the display, not the underlying data or reporting period.
Show ABA only by default; select the white REC series separately and use Non-clinical (NOC in landscape) and Clinical pills to select optional domain plots. Selected domains appear as individual chips. Show or hide Behavioral, Functional, Cardiometabolic, Adaptive BioAge, REC, KDM, and Levine PhenoAge series, and use Explain or Voice for the visible analytical window. The briefing leads with up to three adverse biomarker contributors, then interprets fitted trend, observed persistence and recorded REC completion, ending with a contextual conclusion. Missing observations and unreported outcomes limit that conclusion; a favorable direction does not establish adherence or a treatment response.
Screens illustrate chart and contributor inspection; supporting-chart layouts may differ by app version.
Move from the big picture to the details that matter. Explore your health patterns by day, week, month, quarter, or year, and compare Behavioral, Functional, Cardiometabolic, and Adaptive BioAge trends in one connected view.
Choose daily values or statistical summaries, and add confidence intervals or daily observations where available. These chart layers help you explore both the overall pattern and the variation within it.
Touch a point on the chart to inspect the biomarkers behind that moment. Review their values, contributions, and data completeness, then open a biomarker for its biomarker context and available actions.
This guide covers in-app controls. The statistical definitions and observation rules are specified in Methods, with supporting literature in Resources.
Overview retains selected-series historical bounds while paging and at both zoom levels. Its bounds update when the selected series or analytical context changes. Focus keeps its own fitting state; changes to period type, statistic, or plotted series can reset that fit. Explicitly dismissing an inspection or moving to unavailable data can end the selected HUD view.
Choose the biomarkers you want BioMIR to monitor. When at least half of the available modeled days in a rolling 30-day period fall in the app’s higher-contribution bands, BioMIR can send one generic alert if recent source observations are available. It stays quiet while the pattern continues and can alert again after seven days below the rule. Demo data never sends these alerts.
This is a descriptive product rule, not a diagnosis or clinical threshold. Research reviews on alert appropriateness and health-app engagement inform our preference for relevant, user-controlled notifications; they do not validate BioMIR’s 30-day or 50% cutoffs.
05 / Across your devices
A wider, expanded workspace for inspection. Today uses a layout designed for the larger screen while preserving the same model context.
06 / Apple Watch
A companion snapshot supplied by the paired iPhone, including clocks, contributors, source, and coverage. Watch does not independently calculate the clocks.
See Adaptive BioAge, Behavioral, Functional, and Cardiometabolic contribution dials, Data Completeness, health-status classification, and refresh control in the watch overview.
Open the Health Status view to see the classification thresholds used across the range from Exceptional through Degenerative.
Inspect Adaptive BioAge’s cross-domain biomarker ranking, or focus on Behavioral, Functional, and Cardiometabolic contributor tables. Measured values and signed Δ-years reveal the displayed drivers from adverse to favorable. Use iPhone or iPad for deeper explanations, biomarker context, and evidence.
When eligible clinical-panel data are available, open the KDM overview and contributor table with age difference, completeness, status classification, and signed clinical-biomarker contributions.
07 / Explore Demo Data
Choose among seven current synthetic scenarios with a 1,000-day default history. Visible seeds help reproduce an example. Scenario colors describe the intended trajectory, not every interval. In Custom Simulation, choose a preset and set dates, profile, and seed; the replacement option controls whether generated daily records replace data in the selected range or fill only missing days. Saved clinical labs stay separate from daily inputs. These scenarios are illustrations, not clinical cohorts, personal predictions, or evidence of a measured change in aging. Follow an example through Today, Dashboard, and Trends before connecting your own health records.
Cardiometabolic is informed by the AHA cardiovascular-kidney-metabolic (CKM) framework but is not an AHA CKM stage, diagnosis, or clinical risk estimate. BioMIR’s synthetic pattern uses selected inputs and does not reproduce the AHA framework’s full kidney and cardiovascular criteria. See also the 2026 AHA/ACC/ADA/ASN CKM guideline. The simulated relationship between REC and Adaptive BioAge reflects scenario inputs, not real-world evidence of causality. For reproducible feedback, include the scenario, seed, history length, profile, reporting period, statistic, and selected date or window.
Choose a scenario in Settings → Demo Data and open the in-app tutorials for a guided walkthrough.
08 / Software verification
Replay defined synthetic histories across scenarios and profile settings, retaining a receipt of the run configuration and results. These controls support repeatable software verification and design-control records within BioMIR’s regulatory-readiness framework. Qualification also requires predefined expected results, acceptance criteria, identified software and model versions, and documented outcomes. The illustrated historical receipt is marked “Qualification not evaluated.” Software controls do not establish clinical validity, SaMD adherence, or regulatory authorization; any future prognostic use in clinical care would require independent clinical validation and regulatory review. Review the separate scientific validation status and research program.
The simulations are designed around behavioral, biological, and clinical realism. Each starts with a plausible change in daily behavior, models how relevant functions and biomarkers may respond over time, and shows how those changes can appear in later clinical measurements. The design draws on published research for the pathways. The size and timing of the changes are simulation assumptions.
The repeatable simulations include Stable Baseline, Cardio Risk, Alcohol + Sleep, Sedentary, Fitness Gain, Carb Transition, and Cardio Reset. All seven scenarios passed software checks across three profiles. The result supports software verification. Clinical validity and prognostic performance require separate evidence.
Alcohol + Sleep links alcohol exposure to reduced total sleep and delayed glycemic change. Sedentary and Fitness Gain contrast activity trajectories, Carb Transition isolates dietary carbohydrate and glycemia, and Cardio Risk and Cardio Reset explore adverse and favorable cardiometabolic changes. Read the scenario design and criteria.
09 / Data practices & research
Food, meditation, and other behavioral records can be sensitive.
Core health calculations and the spoken briefing run on device. Review the Privacy Policy and App Store privacy disclosures for the applicable details.
Research consent and program exports are currently disabled; Settings does not enroll you or create a program file. Future separately consented functionality would let users generate a user-selected, domain-specific export with direct identifiers removed of BioMIR-relevant longitudinal data for independent N-of-1 analysis or eligible research participation. Export is user initiated. Detailed biomarker records and exact age may still identify a person; these files are not guaranteed anonymous. Creating a file does not enroll a user in research or transmit it to BioMIR. Any future BioMIR program use would require fresh, separate program-specific consent and reviewed receiving arrangements before activation.
BioMIR is built for adults who want to understand the scientific basis of their health trajectory—not simply collect numbers from a black box. Whether you're improving fitness, refining daily habits, or exploring years of personal health history, BioMIR brings your biomarker data, modeled biological-age trajectories, and recorded actions into one interactive workspace.
Move from identifying important biomarker contributors to prioritizing practical actions. Record your intentions and follow-through, explore Reclaimed BioAge, and examine how your physiological patterns develop alongside your daily choices.
Explore how sleep, activity, cardiorespiratory fitness, and cardiometabolic biomarkers evolve over time. Examine the direction and persistence of modeled changes, inspect individual contributors, and distinguish sustained patterns from daily variation.
Follow Adaptive BioAge alongside independent KDM and Levine PhenoAge estimates from eligible clinical panels. Compare signals across different observation timescales and investigate whether subsequent clinical results show directional concordance with your longitudinal record.
Begin with guided explanations and reproducible Demo Data, or investigate the models, biomarker evidence, data provenance, and statistical methods in greater detail. BioMIR supports both everyday exploration and the scientific curiosity to look beneath the results.
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