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InVivo
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your health, connecteduseful from your phone on day one

Understand your health. Learn what helps.

InVivo brings meals, sleep, stress, heart, glucose, labs, medicines, symptoms, and habits into one source-grounded Digital Twin. See what changed, inspect the evidence, explore a quiet next step, and practice repeatable relaxation, attention, imagery, and rehearsal skills—without turning sparse data into certainty or suggestions into noise.

Wellness preview, not medical care. InVivo does not diagnose, rule out disease, direct medication changes, or replace a clinician. Do not use it for urgent symptoms or emergencies; contact local emergency services when immediate care may be needed.

A personal health learning loop

Bring signals together, understand the evidence, try one bounded action, and learn from your own response.

honest when evidence is thin
Connected identity
One Twin

one canonical health story, never a silent substitute

Feature discovery
Calm Today

one optional in-app card, with visible controls

Know the basis
Sources shown

freshness, quality, history, and missingness

Start simply
Phone first

practice and capture work before optional sensors

See how InVivo helpsJoin the preview
Calm TodayMental Training previewOpen EEG research studyOne canonical TwinMealsSleep + recoveryHeartGlucoseLabsMedicines + supplementsSymptomsEvidence you can inspectPersonal experiments
One connected story
Nine body systems keep sleep, meals, recovery, heart, labs, and symptoms in context instead of turning them into disconnected scores.
Your baseline
Changes are compared with your own history when enough good evidence exists—not treated as a generic verdict from one reading.
Evidence you can inspect
Source, freshness, signal quality, history, and missingness stay visible behind explanations and measured responses.
Action, then learning
Move from a pattern to one bounded wellness action, record the dose and outcome, and learn only when your evidence supports it.
Quiet Twin
Quiet by default: routine signals stay in the app. Proactive avatar or voice contact is off by default and can qualify only with explicit consent plus fresh, high-specificity serious evidence. Autonomous Cardio contact remains research-gated.
01 / Discover, practice, reflect

A Digital Twin that helps you explore— without taking over.

The current preview separates what is available now, what is a protected demo, and what remains research. Today keeps feature discovery sparse and controllable; Mental Training supports independent practice without claiming to detect a special mental state.

Available in previewsparse by policy

One quiet invitation. Never a feed.

Today may show one optional, locally selected feature suggestion on an eligible day. It yields to safety, serious incidents, and active work—and it never creates a notification, badge, sound, haptic, or unsolicited Twin contact.

Illustration of an optional InVivo feature-discovery card with explanation and frequency controls.
Explore InVivo · You might find this useful
Explore a breathing practice

A short, fixed-duration practice is available in Health. Opening it is always your choice.

  • Why this?
  • Not today
  • Show fewer like this

Illustrative card. Suggestions stay in-app, respect quiet hours and active work, and can be turned off globally.

You set the pace

See why it appeared, postpone it, show fewer like it, or turn calm suggestions off.

Discovery, not advice

The slot introduces an available feature. It does not turn a health signal into a care recommendation.

Daily ceiling
1 / local day
Rolling ceiling
4 / 7 days
Spacing
20-hour guard
Profile control
Global off switch
Protected demono sensors required

Train a repeatable skill—not a special state.

Mental Training is an independent-practice instrument for relaxation, attention, imagery, and constructive rehearsal. Choose a generic protocol, record a pre-check, follow the cues, complete a post-check, and review a local history.

  1. Arrive
    A gentle pause and a clear purpose.
  2. Relaxation countdown
    A repeatable way to settle into practice.
  3. Mental canvas
    Simple imagery, attention, and sensory detail.
  4. Constructive rehearsal
    Practice a user-chosen everyday situation.
  5. Clear return
    Finish deliberately, then record a short reflection.

The current guided replay is visibly synthetic, saved locally, and permanently excluded from personalization and Twin projection. The implemented learning boundary admits only consented, authenticated, quality-supported live sessions, compares transparent within-person feature distance with user-selected references, and abstains otherwise. Compatible Muse headsets can now connect directly in Mental Training; raw samples remain volatile while protected derived summaries are saved locally at a bounded cadence.

One canonical Twin

One identity, with visible boundaries.

InVivo opens your canonical Twin or shows that it is unavailable; it does not silently substitute another personality. The session keeps its governed context boundary and reasoning locality visible instead of implying that every answer is local or cited.

On supported iOS, the visible private voice session is hold-to-talk. Recognition and voice output stay on device; reasoning locality is shown instead of being implied.

Descriptive follow-up

Record what happened—not a verdict.

Log a medicine or supplement event as taken, missed, or skipped. For taken events, you can optionally add a later check-in. After enough explicitly unconfounded observations, InVivo can show a descriptive local pattern without claiming efficacy, safety, or cause.

TakenMissedSkippedOptional follow-upDescriptive history

This dedicated feedback archive stays separate from the Twin, generic timeline, Health Connect, trends, and population-export projections.

Research pipelinedeveloper evidence · not required

EEG can add signal context—not certify a mental state.

The versioned EEGKit developer package computes transparent signal features and marks affected measurements unavailable when quality or artefact gates fail. These measurements are research inputs, not proof of relaxation, focus, a named meditation level, or a clinical condition.

InVivo now supports live, compatible Muse EEG for quality-gated feature extraction and an open observational research study. Synthetic mock/replay evidence remains visibly separate and excluded from personalization. Broader physical-device validation, Athena PPG/fNIRS, validated named-state decoding, learned embeddings, percentage similarity, and adaptive recommendations remain open research gates.

Separately, the EEGPractice developer demo supports guided-to-silent practice and conservative proficiency progression. That progression is not part of InVivo's live Muse research flow.

Transparent feature inventory
  • Delta power
  • Theta power
  • Alpha power
  • Beta power
  • Gamma power · noise-sensitive
  • Alpha / theta ratio
  • AF7 / AF8 alpha asymmetry
  • Spectral entropy
  • Sample entropy
  • Lempel–Ziv complexity
  • Inter-electrode coherence
  • Robust band-power trends
02 / From signal to something useful

Bring scattered health data together. Then turn it into a clearer next step.

Collecting data or generating another score is not enough. InVivo is built around a personal learning loop: understand your connected health context, choose one safe and manageable action, measure your response, and remain honest when the evidence is not strong enough.

01

Bring your health story together

Meals, sleep, symptoms, labs, medicines, phone captures, and optional device data share one timeline instead of living in separate apps.

02

Understand what changed

The Twin connects patterns across body systems, compares them with your own history, and points back to the sources behind each explanation.

03

Try one bounded action

When evidence, consent, and safety checks allow, choose a fixed-duration wellness action—such as paced breathing, guided humming, haptics, or a phone-down light routine—or run a time-bounded personal experiment.

04

Learn from your response

InVivo records what you did, comfort, session quality, overnight context, and how you feel the next morning. It compares similar days and says when there is not enough evidence to draw a useful conclusion.

Different in ways that matter

Built around your health story—not another stream of scores.

One picture, not ten dashboards

Nine body systems stay connected so sleep, meals, stress, labs, medicines, and heart signals can be understood as one health story.

Answers that show their work

See where an insight came from, how recent the source is, how much history supports it, and what important evidence is still missing.

Your response, not generic advice

Measure whether a safe, bounded action appears helpful for you. InVivo abstains instead of turning a thin or noisy signal into a confident claim.

Useful before you buy hardware

Start with phone-based meals, sleep sessions, camera wellness summaries, symptoms, documents, and manual readings. Add devices only when they add value.

Quiet by default

Routine insight stays in the app. Proactive avatar or voice contact is off by default and requires separate consent plus fresh, high-specificity serious evidence. Autonomous Cardio contact is not currently available.

Ready for a care conversation

Turn trends, original documents, medicines, symptoms, source receipts, and your questions into a focused packet to review with a clinician.

How this can help in real life
When a meal is hard to log
Photograph the plate to create a reviewable draft of likely foods and nutrition. Inspect sources and estimate ranges, correct items or portions, and confirm it before it joins your health story.
When recovery feels off
Look at sleep timing, meal timing, HRV, symptoms, and source quality together instead of guessing from one readiness score.
When you want to change a habit
Turn earlier dinner, post-meal walking, or sleep regularity into a time-bounded question you can measure against your own baseline.
When a calming action may fit
If approval, eligibility, consent, and safety checks pass, choose an available fixed-duration breathing, humming, haptic, or phone-down light protocol and record comfort before and after. Licensed sound is offered only when approved content is available.
Before an appointment
Organize recent signals, lab documents, medicines, symptoms, and questions into a source-grounded visit aid.
03 / Open EEG research study

Help us understand consumer EEG— with uncertainty kept visible.

InVivo's observational EEG research study is open to anyone interested in contributing—no diagnosis, referral, or research background required. If you have compatible Muse hardware, you can connect from Mental Training and review the same quality-gated signal summaries used in the study. Eligibility, informed consent, and study details are reviewed during enrollment.

See transparent EEG features

Review relative delta, theta, alpha, beta, and gamma trends, usable channels, signal quality, confidence, and visible abstentions. These measurements describe signals; they do not decode thoughts, certify a mental state, or diagnose a condition.

Private by default

Raw EEG remains in volatile memory and is not saved by default. Derived summaries are stored in protected local app storage with model and data provenance, and you can delete one session or all EEG history.

Open participation

The study is designed for broad public participation with compatible hardware. Participation is voluntary, consented, and separate from medical care; you can stop participating and delete local study history at any time.

Research boundary

This is observational product research, not a registered clinical trial or medical service. Results are exploratory and are not intended for diagnosis, treatment, emergency monitoring, or medication decisions. Athena optical sensing and validated named-state decoding remain outside the available study flow.

Join the EEG study
04 / Start with what you have

Useful even with no smartwatch, band, ring, or CGM.

InVivo starts with the device you already have. Capture meals, sleep sessions, camera-based wellness summaries, symptoms, manual biomarkers, and health documents from your phone; add devices only when they make the picture more useful.

Remember meals without perfect logging

Take a photo to create a reviewable draft of likely foods and nutrition, or use voice, package scan, and manual entry. See source-backed estimates and ranges for each item, correct foods or portions, then confirm before it becomes part of your health story.

Explore your sleep with your phone

Run a visible, opt-in overnight session to review sleep timing and acoustic context, then correct the summary when it does not match your night.

Take a quick camera wellness check

Use a short phone-camera scan for derived heart rate, breathing, and HRV context. Signal quality stays visible, and raw video is not retained.

Keep readings in context

Enter fingerstick glucose or ketone readings by hand and see paired GKI, trends, meals, and timing together—even without a connected sensor.

Bring your health documents with you

Import lab reports, lipid panels, PDFs, and supported health files so original clinical markers sit beside the daily patterns you want to discuss.

Start learning before adding devices

Meals, symptoms, supplements, labs, phone sleep, and camera summaries can begin a useful timeline. Wearables and CGMs add detail later if you choose.

05 / Whole-body context

Your health signals. Connected context.

InVivo organizes nine body systems together so a sleep change, meal, symptom, medicine, lab result, or heart signal does not have to be interpreted in isolation.

49+
health models
13
health areas
Local
by default

Heart & circulation

Published risk-estimate context, user-selected ECG records, and symptom check-ins.

  • 10 & 30-year heart-risk
  • ECG source files & measurements
  • Active concern check-in
  • Rhythm-record review context
  • Heart-rate variability
On-devicePrivateFederated

Metabolic & glucose

Authorized-device glucose patterns, meal context, and personal trends.

  • Glucose variability
  • Source-qualified trend context
  • Metabolic balance
  • Fasting stages
  • Keto & GKI context
On-devicePrivateFederated

Sleep & breathing

Sleep timing, user-recorded snoring, and published questionnaire context.

  • Sleep timing
  • Snore recordings
  • Sleep questionnaires
  • Sleep regularity
On-devicePrivateQuestionnaires

R-R variability & recovery context

Descriptive interval variability shown beside activity, sleep, and symptoms.

  • HRV features
  • Position-change context
  • Personal ranges
  • Signal quality
On-devicePrivate

Aging & vitality

Functional observations and clearly labeled research-model context.

  • Research age-model output
  • Functional age battery
  • Source-coverage summary
  • Longitudinal function trends
On-devicePrivate

Genomics

Source-linked genetic annotations for education and clinician review.

  • Variant annotations
  • Clinician-review packet
  • Nutrition-related context
On-devicePrivate

Gut health

Digestive patterns and microbiome report context.

  • Bristol stool insight
  • Microbiome report context
On-devicePrivate

Mind & mood

Published questionnaire scores plus protected independent practice.

  • PHQ-9 / GAD-7 / WHO-5
  • Mental Training demo
  • Pre/post reflection
  • Local practice history
  • Somatic reset
On-devicePrivateQuestionnaires

Camera & vitals

Hands-free wellness signals from your phone camera.

  • Pulse (rPPG) trend
  • Respiration context
  • Quality-qualified spot checks
On-devicePrivate

Nutrition

Effortless meal capture and nutrition estimates.

  • Meal photo & voice
  • Likely-ingredient drafts
  • Nutrition estimate ranges
On-devicePrivate

Environment

Surroundings recorded beside symptoms and daily observations.

  • Place context
  • Air, pollen & daylight
  • Digital-use context
On-devicePrivate

Clinical & labs

Organize labs and prepare questions for your clinician.

  • Lab & document import
  • Clinician packets
  • Care-plan adherence
On-devicePrivateFederated

Your digital twin

One canonical Twin with explicit boundaries and no silent substitute identity.

  • Governed context boundary
  • One canonical identity
  • Visible hold-to-talk voice
  • Reasoning locality shown
  • Quiet-by-default contact
Private

Wellness, education, and clinician-discussion tools — not a diagnosis. Stronger outputs stay gated until they pass independent validation. Evidence maturity measures source coverage, provenance, recency, and longitudinal depth—not health, risk, or diagnostic certainty.

05 / Evidence you can inspect

Know what InVivo knows—and what it does not.

Evidence maturity describes source coverage, provenance, recency, and longitudinal depth—not health, risk, or diagnostic certainty. Original sources and important gaps remain visible so you can judge how much weight to give an explanation.

Evidence maturity
Growing evidence6 / 9 systems · latest source 2d ago
source quality only

Measures source coverage, provenance, recency, and longitudinal depth—not health, risk, or diagnostic certainty.

Phone-onlyactive from day one

Meals, Bio Scan, SleepInsight phone sessions, symptoms, manual readings, and journal context.

Device-enrichedoptional precision

Apple Health, CGMs, watches, rings, chest straps, scales, and sync recency.

Lab-verifiedsource grounded

Blood tests, lipids, CMP, inflammation markers, PDFs, FHIR JSON, and CSV imports.

Clinician-contextualizedcare conversation

Symptoms, medicines, supplements, protocols, visit notes, and questions for review.

Imaging-enrichedfuture evidence source

Radiology reports, DEXA, ultrasound, MRI, and third-party deep-assessment imports.

Body search / source-grounded answer
“Why was my recovery lower this week?”

Likely contributors: shorter sleep, lower Bio Scan HRV, later meal timing, and a recent bloating symptom. This is a pattern summary from your timeline, not a diagnosis.

Sleep
7h 42m
phone session
HRV
44 ms
Bio Scan
ApoB
82 mg/dL
lab PDF
GKI
3.0
manual paired reading
Data honesty layer

Every explanation can point to source type, modality, date, confidence, and whether the signal came from a phone, device, lab, clinician note, or imported report.

06 / Private and quiet by design

Your data is local by default—and routine insight stays quiet.

Supported analysis runs on-device first. Twin conversations show the selected reasoning authority and locality; biological-context sharing, other cloud features, serious proactive contact, clinician packets, connectors, research exports, and federated learning retain separate, purpose-specific controls.

Local first

InVivo keeps health records and runs supported analysis on your device by default.

Choice at each boundary

Twin conversations show the selected authority and locality. Biological context sharing, other cloud features, clinician sharing, connectors, research exports, and federated learning retain separate controls.

Reversible controls

Sensitive controls start off. You can turn them off, delete local InVivo data, and follow the in-app steps for any external system that holds a copy.

Stored and processed locally by default
  • Health records and sensor history
  • Meal photos, labs, and documents
  • Twin context and media
  • Mental Training demo history and self-reports
  • Genomic and research inputs
Shared only when you choose a purpose
  • Twin conversation — selected authority and disclosed locality; biological context sharing is separately off by default
  • Other cloud features — purpose-specific data, separate controls
  • Clinician packets and connectors — purpose-specific action
  • Research exports and federated updates — explicit consent

No federated contribution. Other sharing remains controlled separately in the app.

Local by defaultPurpose-specific controlsConsent-gatedRevocableClear deletion steps
07 / Try it now

Estimate your heart risk, right in your browser.

Explore the published AHA PREVENT equations locally. They are validated for adults ages 30–79 without known cardiovascular disease and are intended to support clinician-patient primary-prevention discussions—not self-diagnosis or treatment decisions.

Age50
Blood pressure (top number)124 mmHg
Total cholesterol200 mg/dL
HDL (“good”) cholesterol50 mg/dL
Body-mass index26
10-year total cardiovascular risk
2.2%
30-year: 15.2% · 10-yr ASCVD: 1.4%
Computed in your browser. Nothing is sent anywhere.

For adults ages 30–79 without known cardiovascular disease. AHA PREVENT is intended to support a clinician-patient primary-prevention discussion. This demonstration is not a diagnosis and should not be used to start, stop, or change treatment.

Organize inputs for a care conversation
08 / Heart dynamics

A heartbeat carries more than a rate.

With clean beat-to-beat data, rhythm geometry can show how variable or regular the intervals are over time. InVivo treats these patterns as source-qualified wellness context—not a diagnosis—and withholds them when signal quality is too weak.

Physiologic
Pathologic
Life-threatening

Normal sinus rhythm

Phase space · stable limit cycle

A conceptual limit-cycle model — real sinus rhythm is continuously modulated by breathing and autonomic activity.

Healthy HR variability

Return map · fat comet (high complexity)

A broad return-map pattern. Healthy variability is adaptive and organized—not simply maximal.

Atrial fibrillation

Return map · diffuse cloud (irregularly irregular)

The comet collapses into a round cloud — almost no correlation between beats.

T-wave alternans

Phase space · period-2 (period-doubling onset)

A conceptual period-2 model. T-wave alternans requires ECG waveform morphology; RR intervals alone cannot detect it.

Ventricular tachycardia

Phase space · fast monomorphic loop

A single fast re-entrant circuit — still periodic, just dangerously fast.

Ventricular fibrillation

Conceptual model · spatiotemporal fibrillatory dynamics

A conceptual model of interacting re-entry, wavebreak, and unstable propagation—not a diagnostic reconstruction from RR data.

Conceptual phase-space illustrations, not diagnostic reconstructions. The return maps are stochastic surrogates; the fibrillation panel is a low-dimensional model of spatiotemporal tissue dynamics and cannot be inferred from a chest-strap RR series. InVivo plots your real Poincaré geometry on-device, with claims kept separate from these teaching models.

Recommended device

For heart dynamics, a Polar H10 chest strap.

The Poincaré and interval-variability views summarize the beat-to-beat geometry of your heartbeat intervals — so they need sufficiently complete R-R data. Optical wrist sensors may sample intermittently or lose intervals during motion. A compatible chest strap can provide denser interbeat timing, but these views remain descriptive wellness context and are not an ECG interpretation or arrhythmia assessment.

Device performance varies by person, fit, activity, and environment. InVivo is not affiliated with Polar, and wrist and finger sources remain useful for supported trends.

Get the Polar H10
09 / Experiments

Most health hacks do not survive measurement.

InVivo Experiments turns a wellness question into a small, time-bounded personal experiment with predefined outcomes and safety limits. It is a personal learning loop, not generic advice or proof of cause.

Folklore → falsifiable question
You say

“Magnesium improves my sleep.”

InVivo tests

Does magnesium glycinate nightly for 14–28 days improve your sleep latency by at least 15 minutes versus control — beyond your normal week-to-week variation?

Design
28-day crossover
MWE
15 min faster onset
Every claim passes five gates
01Safe enough to test?
02Outcome measurable?
03Falsifiable in time?
04Placebo reducible?
05Aggregates privately?
First five claims
Post-meal walk and glucoseCaffeine cutoff and sleepConsistent wake time and recoveryMagnesium and sleepBlue-light glasses and sleep
How the falsification engine works
preview / phone first / grow at your pace

Start with the phone you already have. Build a clearer picture over time.

Add devices, labs, and clinician context only when they make your health story more useful. InVivo keeps sources, uncertainty, and sharing choices visible as your timeline grows—and stays honest when there is not enough evidence yet.

View preview accessPlatform options

Preview intake is handled directly until a public signup endpoint is live.

macOSDesktop clinician packetAndroidNative mobile previewvisionOSSpatial twin preview
Working in population health or research? Explore InVivo for organizations.