Patient P-02027
Synthetic patientMETA-24 · Day 169 · 35–44 · M · baseline S11Steering view · 3DOpen companion preview
Therapy response
Favorable
Tolerance
Favorable
GI state
Improving
Inflammatory state
Favorable
Nutritional resilience
Improving
Discontinuation risk
2%
Trajectory
Baseline → today → 30-day prediction · hover a day for signals and eventssolid = observed · dashed = predicted
- Day 0 META-24 started — Baseline state S11
What changed?
Trajectory is tracking the baseline prediction.
Primary contributors, last 14 days
- GI instability-11
- Nutritional resilience+9
- Inflammatory activity+2
- Treatment adherence+2
- Toxicity-2
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
Wearable47 min
improving · +2.0 vs previous 14 d
Sleep duration
Wearable7 h
stable · -0.2 vs previous 14 d
Energy level
Daily log8.1/10
improving · +0.6 vs previous 14 d
Steps
Wearable5,214
stable · -20 vs previous 14 d
GI burden
Companion1.9/100
improving · -9.1 vs previous 14 d
Adherence
Companion90.4 %
stable · -0.9 vs previous 14 d
Sleep quality
Wearable56.6/100
stable · -1.3 vs previous 14 d
Glucose, CGM daily mean
CGM116 mg/dL
stable · -5.0 vs previous 14 d
This trajectory is doing well — what to keep, what to watch
Steering view →Heading towards restoration · 101 from the failing basin, 17 from restoration.
Good elements to keep
- Protein (supports)perturbation · steering +9
- Butyrate producers intacthidden · steering +7.5
- Proteinsupporter · GI -5 next day
Main detractors to watch
- Rapid metabolizerhidden · steering -8
- Bacteroides fragilis elevatedhidden · steering -7.4
- Alcoholperturbation · steering -6
- Poor-sleep weekperturbation · steering -3
- Alcoholdetractor · GI +3.4 next day
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-5supporter · 95%
- Alcohol+3.4detractor · 74%
- Simple carbohydrates-2.5no signal · 52%
- Histamine load+1.5no signal · 25%
- Caffeine-1.4no signal · 27%
- Ultra-processed food-1.2no signal · 22%
- Dietary fat load+0.6no signal · 15%
- Insoluble fibre+0.3no signal · 15%
Biological layers
Which pathways look influenced, and by which layer of this person's biology.
Pathways under pressure
- Mucosal barrier integrity ↓30
- MicrobiomeAkkermansia low → thinner mucus layer
- Butyrate / short-chain fatty acid production ↓25
- MicrobiomeF. prausnitzii depleted
- Inflammatory signalling ↑20
- MicrobiomeBacteroides fragilis expansion
DNA
Fictional pharmacogenomic panel
- CYP2D6 Rapid metabolizerExpected exposure
- MTHFR C677TReduced folate turnover
Microbiome
Shannon diversity 3.3 · butyrate capacity 76/100
- Akkermansia muciniphilaLow
- Faecalibacterium prausnitziiLow
- Bacteroides fragilisHigh
- Bifidobacterium longumNormal
- EnterobacteriaceaeNormal
Wearable, last 14 days
daily evolution fed into the runtime
- HRV
- 47 ms
- Sleep
- 6.8 h
- Steps
- 4,809
- Resting HR
- 62 bpm
Daily log: GI score 2, nutritional resilience 81, adherence 90.
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
- Add one soluble-fibre source (oats, cooked carrots, banana) to breakfast
- 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
- Keep the sleep window steady
- 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-02337 | 33% | S18 | DT-01 | no change | 100 |
| P-02249 | 37% | S09 | DT-01 | improved | 100 |
| P-02189 | 40% | S17 | — | — | 96 |
| P-02640 | 34% | S03 | — | — | 96 |
| P-02242 | 36% | S20 | — | — | 95 |
| P-02013 | 38% | S14 | BR-03 | no change | 94 |
| P-02104 | 41% | S15 | — | — | 94 |
| P-02450 | 42% | S12 | NP-02 | improved | 92 |
| P-02277 | 42% | S05 | AD-05 | improved | 92 |
| P-02304 | 37% | S15 | — | — | 92 |
| P-02653 | 34% | S14 | — | — | 91 |
| P-02689 | 31% | S13 | — | — | 91 |