600 patients67,035 observations120 daysLIVE

Human Model · HM(t) at day 103

State-timeSynthetic demo data⟨ I, St, H0:t, Et, Θt, T, Ut ⟩ — belief, not fact; uncertainty shown, not hiddenSteering view
1
Localization — where is this individual biologically now?
Belief state b_t per dimension: value ± sd from within-person noise plus the observation model's semantic distance. Trajectory features (velocity, autocorrelation, recovery time) are state variables.
Dimensionb_tdS/dtautocorrrecoveryobservation model
Therapy response47 ± 9.9+0.13/d0.6710 dImaging + tumour markers, interpolated · proxy · last read ≤ 14 d
Gastrointestinal function40 ± 5.4+0.23/d0.551 dDaily GI check-in · direct · today
Treatment toxicity39 ± 8.5-0.23/d0.574 dLabs, interpolated between draws · proxy · last draw ≤ 7 d
Inflammatory activity39 ± 10.8-0.11/d-0.21 dCRP/ferritin + immune signature · inferred · weeks
Immune / metabolic54 ± 11.2+0.09/d0.162 dMetabolic panel + wearable · inferred · weeks
Nutritional sufficiency56 ± 7.6+0.08/d0.219 dWeight, albumin, food log · proxy · days
Adherence56 ± 4.3+0.19/d0.352 dDose + to-do completion · direct · today
Function / quality of life44 ± 5.5+0.11/d0.313 dPRO items · direct · today

High autocorrelation and slow recovery are early-warning signatures of a critical transition (Scheffer et al.), independent of the level.

2
Provenance — how did they arrive here?
The path H_0:t: baseline constraints, divergence, perturbations, actions and responses in order.
  1. day 0baselineBaseline S14: EC-03 phenotype; Poor metabolizer; butyrate 34
  2. day 31recommendedNP-02 recommended
  3. day 32acceptedPatient accepted
  4. day 42responseNo meaningful change
  5. day 47divergenceTrajectory diverged from the population model
  6. day 47noteTrajectory diverged from prediction
  7. day 47recommendedSC-12 recommended
  8. day 48acceptedPatient accepted
  9. day 51perturbationAlcohol on dosing days (-1.8)
  10. day 54responseGI symptom burden −19% vs expected
  11. day 56recommendedGI-04 recommended
  12. day 57perturbationLow-HRV stretch (-2.7)
  13. day 57acceptedPatient accepted
  14. day 60state changeTolerance state changed
  15. day 65responseGI symptom burden −28% vs expected
  16. day 71state changeTolerance state changed
  17. day 77perturbationDietary drift (-2.6)

Now: between basins, heading towards failing.

3
Mechanism — which theories best explain the trajectory?
Versioned competing theories with supporting (E+), contradicting (E−) and missing-but-discriminative (E?) evidence. The contradiction engine lists what should NOT happen under each theory and whether it did.
T2 v2leading
confidence 44%

Bile-acid diarrhoea on a low-butyrate ecology: reduced SCFA production leaves bile acids unconjugated after fat-rich meals; GI burden tracks fat intake with a one-day lag.

E+
  • Butyrate capacity 34/100
  • DeepGene: 6 keystone butyrate producers absent
  • Fat load → GI +3.5 next day
  • Diversity 2.7
  • SC-12 improved GI
E−
E? · would discriminate
  • Faecal bile acids
  • 7α-hydroxy-4-cholesten-3-one (C4)
  • Rechallenge: 3 high-fat days under observation
Forbidden under this theory
✓ holdsGI should not rise on low-fat days (fat effect 3.5 over 41 low-fat days)
v1 baseline: microbiome → v2 dietary attribution
T1 v3weakened
confidence 40%

Mucosal barrier loss: drug-induced epithelial injury amplified by a FUT2-dependent glycan deficit; histamine and inflammatory load add on top.

E+
  • FUT2 non-secretor genotype (barrier glycan deficit)
  • DeepGene: Escherichia coli above range (LPS / zonulin)
  • DeepGene: tissue recycling 56
  • Histamine load → GI +3.7 next day
  • GI-04 (barrier-support protocol) improved GI
E−
E? · would discriminate
  • Faecal calprotectin (would separate barrier from motility)
  • Serum DAO / histamine
  • Zonulin
Forbidden under this theory
✓ holdsGI should not improve while histamine intake stays high (GI velocity 0.36/day)
✗ violatedLow-residue meals should reduce GI within a week (NP-02 → no_change)
v1 baseline: genotype + phenotype → v2 day 57: GI-04 response added to E+ → v3 dietary attribution from 60-day log
T3 v1falsified
confidence 10%

Drug-exposure toxicity: pharmacokinetic over-exposure drives GI and systemic toxicity together; dietary and microbial factors are secondary.

E+
  • Poor metabolizer: exposure above modelled range
  • GI autocorrelation 0.72 (slow recovery)
E−
  • Toxicity within range
E? · would discriminate
  • Trough drug level
  • Dose-timing rechallenge (evening vs morning)
Forbidden under this theory
✗ violatedGI should not move with diet if exposure is the driver (3 dietary detractors with ≥ 80% confidence)
v1 baseline: pharmacogenomics
T4 v1competing
confidence 6%

Behavioural spiral: symptomatic days cut adherence and sleep, which raise GI and stress, which cut adherence further; the biology is a follower, not the driver.

E+
  • Adherence 56%
E−
  • Sleep and stress stable
E? · would discriminate
  • Dose-taking timestamps vs symptom timestamps
  • Sleep-window rechallenge
Forbidden under this theory
✓ holdsGI should not worsen on days with full adherence and good sleep (insufficient paired days)
v1 from tracker trends
4
Forecast — which futures are likely under alternative actions?
30-day rollout of GI burden under the baseline model T and under each safe candidate action (effect ramps over onset). Dashed = prediction, never fact.
No action
GI 4046
Under ME-01
GI 4044
Under CR-01
GI 4041
Under DT-01
GI 4040
8
Intervention as measurement
Each past action as a measurement of this patient's transition dynamics: predicted ΔGI vs observed, prediction error ε_t, and the within-patient evidence patterns → individualized response confidence (observational, kept separate from randomized evidence).
Actionpred ΔGIobs ΔGIεtemporalitymagnitudedechallengerechallengecross-modalconfidence
NP-02 day 32-336+39non/a18%
SC-12 day 48-821+29n/an/a18%
GI-04 day 57-20-21-1n/an/a40%
Learning curve · |ε| per cycle:NP-02 39 (prior 39)SC-12 23 (prior 29)GI-04 1 (prior 1)improving over cycles
5
Decision — the Restore controller
Safe set computed first, then A* = argmax E[HealthGain + λ₁·InformationGain + λ₂·ConfidenceGain − λ₃·Risk − λ₄·Burden − λ₅·Cost]. λ₁ = 0.6 (theories near-equiprobable), λ₃ = 1 (stable enough). Execution stays with the clinician or the informed patient (EU MDR Class I).
ClassActionHealthInfoConf.RiskBurdenCostUtility
EscalateCR-01 Clinician Review
100% of 2 similar improved.
0.370.20.250.020.250.150.39
MeasureFaecal bile acids
Discriminates T2 from its competitors (E?).
00.750.20.020.250.20.32
Test7α-hydroxy-4-cholesten-3-one (C4)
Discriminates T2 from its competitors (E?).
00.750.20.020.250.50.27
EscalateME-01 Monitoring Escalation
100% of 58 similar improved.
0.220.20.250.080.10.150.26
TreatAD-05 Adherence Support
50% of 2 similar improved.
0.150.20.250.080.250.150.11
TreatHY-01 Hydration Protocol
0% of 0 similar improved.
0.150.20.250.080.250.150.11
TreatBR-03 Behavioural Recommendation
0% of 0 similar improved.
0.140.20.250.080.250.150.1
ObserveContinue passive collection, no perturbation
A clean transition can be observed only without a new perturbation.
00.150.0500.0500.08
MaintainHold current regimen and content
Protects nothing while the state deteriorates.
0.050.050.050.050.0500.02
Excluded from the safe set
  • GI-04 Not indicated for the current state.
  • NP-02 Not indicated for the current state.
  • SC-12 Not indicated for the current state.
  • DT-01 Dose-timing change requires investigator authorization in poor metabolizers (contraindication from I).
Evidence weights · w = Authority × Relevance × Persistence
  • Biological identity Poor metabolizer; FUT2, CYP2D6
    Germline panel, baseline
    0.86 (0.95·0.9·1)
  • High-authority clinical Toxicity 39, response 47
    Labs / imaging, ≤ 14 d
    0.77 (0.9·1·0.85)
  • Intervention response 3 within-patient responses recorded
    ΔS after each action, accumulating
    0.68 (0.75·1·0.9)
  • Deep biological state DeepGene retest day 90: damage 78/100, Shannon 1.89, butyrate 340 CPM, 4 opportunists above, 6 keystone absent
    Synthetic DeepGene metagenomics + host DNA, sample 910823-R (compositional proxy)
    0.58 (0.7·1·0.835)
  • Dynamic state GI 40, sleep 5.9 h, HRV 53
    Companion + wearable, today
    0.18 (0.6·1·0.3)
  • Exposure context Keep meals regular; three to four moderate portions spaced through the day; dosing per protocol; adherence 56%
    Food log + dose log, event-level
    0.1 (0.55·0.9·0.2)
LLIFE OS insight · the five questions, in prose
grounded · add an LLM key for prose

P-01432 is on day 103 of NBL-101 (EC-03, baseline S14): response declining, tolerance favorable, GI improving. Over 14 days response moved -10 and GI -4; discontinuation risk is 55%. The state is between basins, heading towards failing, after diverging from the model on day 47.

Biology sets the gain: FUT2 non-secretor, Poor metabolizer, Low butyrate capacity, Low microbial diversity, Baseline state S14, Cluster EC-03 (high response / high intolerance), Adherence < 60%; butyrate capacity 34/100, diversity 2.7. Pushing it down: Escherichia coli 30.739% (LPS load) (-32.8), Low butyrate capacity (-25.8), 6 keystone species absent (-19.3). Pulling it up: GI Support Protocol GI-04 (+41.1), Supportive Compound SC-12 (+31). From the daily log: histamine +3.7 GI next day, fat +3.5 GI next day, simple carbs +3.3 GI next day.

Past actions: NP-02 on day 32 → no change (2%); SC-12 on day 48 → improved (19%); GI-04 on day 57 → improved (28%).

Next: AD-05 — 33% of 284 similar trajectories improved, 33% probability here. Adherence is 56% and stable; nothing else works if the dose is missed → adherence support first. This would be contradicted by a further GI rise within the onset window or falling adherence.