Patient P-02654
Synthetic patientMETA-24 · Day 146 · 55–64 · M · baseline S03Steering view · 3DOpen companion preview
Therapy response
Improving
Tolerance
Improving
GI state
Deteriorating
Inflammatory state
Deteriorating
Nutritional resilience
Declining
Discontinuation risk
30%
Trajectory
Baseline → today → 30-day prediction · hover a day for signals and eventssolid = observed · dashed = predicted
- Day 0 META-24 started — Baseline state S03
- Day 27 Trajectory diverged from prediction — Observed response fell below the model's expected path.
What changed?
Trajectory began diverging from predicted response on Day 27.
Primary contributors, last 14 days
- GI instability+12
- Nutritional resilience-8
- Inflammatory activity+6
- Toxicity-4
- Treatment adherence-3
What helped?
No interventions yet.
LIFE OS recommendation
No intervention is indicated right now. The trajectory is stable relative to similar patients. See what worked for similar patients.
Daily trackers
Molecule settingsThe trackers this program marks as important, last 14 days vs the 14 before.
Active minutes
Wearable57 min
stable · -2.3 vs previous 14 d
Sleep duration
Wearable5.9 h
stable · -0.0 vs previous 14 d
Energy level
Daily log6/10
worsening · -0.3 vs previous 14 d
Steps
Wearable6,686
stable · -267 vs previous 14 d
GI burden
Companion24.6/100
worsening · +3.3 vs previous 14 d
Adherence
Companion92.4 %
stable · +1.3 vs previous 14 d
Sleep quality
Wearable36.6/100
worsening · -2.3 vs previous 14 d
Glucose, CGM daily mean
CGM131 mg/dL
stable · +1.5 vs previous 14 d
This trajectory is decaying — what would help, what would not
Steering view →Heading towards failing · 68 from the failing basin, 22 from restoration.
Would help
- No untried action with strong evidence. Compose one from primitives.
- More proteinGI -3.4 next day on high-intake days · n 23
- More histamineGI -1.9 next day on high-intake days · n 17
Would not help
- Keep alcohol lowGI +3.3 next day on high-intake days · n 22
State influencers · digestive
Next-day GI change on high-intake vs low-intake days, last 60 days. Attribution from this patient's own log; sensitivity set by their biology.
- Protein-3.4supporter · 95%
- Alcohol+3.3detractor · 95%
- Histamine load-1.9supporter · 57%
- Caffeine+1.1no signal · 34%
- Insoluble fibre-0.7no signal · 18%
- Dietary fat load-0.4no signal · 15%
- Ultra-processed food-0.3no signal · 15%
- Simple carbohydrates-0.1no signal · 15%
Biological layers
Which pathways look influenced, and by which layer of this person's biology.
Pathways under pressure
- Inflammatory signalling ↑20
- MicrobiomeBacteroides fragilis expansion
- Autonomic recovery ↓20
- WearableShort sleep window
- Mucosal barrier integrity ↓10
- WearableSleep 5.9 h, below personal baseline
DNA
Fictional pharmacogenomic panel
- CYP2D6 Rapid metabolizerExpected exposure
- GLP1R rs6923761 AAltered receptor sensitivity
Microbiome
Shannon diversity 4.1 · butyrate capacity 50/100
- Akkermansia muciniphilaNormal
- Faecalibacterium prausnitziiNormal
- Bacteroides fragilisHigh
- Bifidobacterium longumNormal
- EnterobacteriaceaeHigh
Wearable, last 14 days
daily evolution fed into the runtime
- HRV
- 40 ms
- Sleep
- 6.6 h
- Steps
- 7,293
- Resting HR
- 71 bpm
Daily log: GI score 25, nutritional resilience 62, adherence 92.
What this patient sees in NostraAI
The content that steers the trajectory: what to eat, what to do, what to take.
What to eat
- Keep meals regular; three to four moderate portions spaced through the day
- Include a cooked vegetable portion with each main meal
- Keep fibre steady; no new sources this week
- Eat slowly and stop at comfortable fullness — smaller volume, more often
What to do
- Log the daily check-in; one line is enough
- Keep the current walking rhythm
- Protect a 7.5-hour sleep window; screens off 30 minutes before
- Keep hydration steady: small amounts through the day rather than large volumes at once
What to take
- Take the dose at the same time relative to your evening meal
- No additional supplements this week
- Fictional demo item: continue vitamin D as before
284 biologically similar trajectories
Black: this patient. Green: similar patients whose intervention worked. Orange: similar patients where it did not.
| Patient | Similarity | Baseline | Intervention | Outcome | Response today |
|---|---|---|---|---|---|
| P-02031 | 34% | S12 | AD-05 | improved | 47 |
| P-02285 | 34% | S14 | AD-05 | no change | 39 |
| P-02483 | 41% | S06 | BR-03 | no change | 64 |
| P-02280 | 40% | S07 | BR-03 | no change | 50 |
| P-02267 | 39% | S09 | BR-03 | no change | 45 |
| P-02087 | 35% | S01 | BR-03 | no change | 40 |
| P-02354 | 38% | S01 | CR-01 | improved | 78 |
| P-02491 | 48% | S09 | DT-01 | no change | 65 |
| P-02518 | 48% | S17 | DT-01 | improved | 68 |
| P-02462 | 44% | S12 | DT-01 | improved | 65 |
| P-02235 | 42% | S14 | DT-01 | improved | 50 |
| P-02274 | 41% | S15 | DT-01 | improved | 50 |