Patient P-02364
Therapy response
Favorable
Tolerance
Improving
GI state
Improving
Inflammatory state
Improving
Nutritional resilience
Improving
Discontinuation risk
9%
Trajectory
Baseline → today → 30-day prediction · hover a day for signals and eventssolid = observed · dashed = predicted
- Day 0 META-24 started — Baseline state S19
What changed?
Trajectory is tracking the baseline prediction.
Primary contributors, last 14 days
- Toxicity-11
- Nutritional resilience+10
- GI instability-8
- Inflammatory activity-5
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
Wearable78 min
improving · +7.9 vs previous 14 d
Sleep duration
Wearable7.9 h
stable · -0.0 vs previous 14 d
Energy level
Daily log6.6/10
stable · +0.1 vs previous 14 d
Steps
Wearable7,831
improving · +696 vs previous 14 d
GI burden
Companion12.2/100
improving · -4.2 vs previous 14 d
Adherence
Companion91.5 %
worsening · -5.0 vs previous 14 d
Sleep quality
Wearable66.5/100
stable · -1.9 vs previous 14 d
Glucose, CGM daily mean
CGM115 mg/dL
stable · -2.8 vs previous 14 d
This trajectory is doing well — what to keep, what to watch
Steering view →Heading towards restoration · 93 from the failing basin, 8 from restoration.
Good elements to keep
- Protein (supports)perturbation · steering +13.3
- Butyrate producers intacthidden · steering +7.5
- Proteinsupporter · GI -7.6 next day
Main detractors to watch
- IL6 high-expression varianthidden · steering -7.3
- Ultra-processed foodperturbation · steering -6.5
- Poor-sleep weekperturbation · steering -3
- Low-HRV stretchperturbation · steering -2.7
- Ultra-processed fooddetractor · GI +4.2 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-7.6supporter · 95%
- Ultra-processed food+4.2detractor · 85%
- Simple carbohydrates+1.3no signal · 23%
- Caffeine-0.9no signal · 15%
- Histamine load-0.7no signal · 15%
- Insoluble fibre-0.6no signal · 15%
- Alcohol-0.5no signal · 15%
- Dietary fat load+0.2no 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
- Inflammatory signalling ↓25
- DNAIL6 -174 variant raises baseline inflammatory tone
- Butyrate / short-chain fatty acid production ↓25
- MicrobiomeF. prausnitzii depleted
DNA
Fictional pharmacogenomic panel
- IL6 -174 G/CHigher inflammatory tone
- CYP2D6 Intermediate metabolizerExpected exposure
- GLP1R rs6923761 AAltered receptor sensitivity
Microbiome
Shannon diversity 3.6 · butyrate capacity 81/100
- Akkermansia muciniphilaLow
- Faecalibacterium prausnitziiLow
- Bacteroides fragilisNormal
- Bifidobacterium longumLow
- EnterobacteriaceaeNormal
Wearable, last 14 days
daily evolution fed into the runtime
- HRV
- 48 ms
- Sleep
- 8.2 h
- Steps
- 8,683
- Resting HR
- 67 bpm
Daily log: GI score 12, nutritional resilience 73, 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
- 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-02555 | 58% | S01 | AD-05 | no change | 79 |
| P-02277 | 47% | S05 | AD-05 | improved | 92 |
| P-02282 | 48% | S01 | BR-03 | no change | 88 |
| P-02013 | 41% | S14 | BR-03 | no change | 94 |
| P-02280 | 29% | S07 | BR-03 | no change | 50 |
| P-02193 | 42% | S11 | CR-01 | improved | 87 |
| P-02354 | 30% | S01 | CR-01 | improved | 78 |
| P-02081 | 51% | S20 | DT-01 | no change | 88 |
| P-02565 | 43% | S09 | DT-01 | no change | 79 |
| P-02249 | 42% | S09 | DT-01 | improved | 100 |
| P-02337 | 37% | S18 | DT-01 | no change | 100 |
| P-02462 | 31% | S12 | DT-01 | improved | 65 |