Conditions

Some diagnoses meaningfully change how your body responds to food, exercise, and compounds. The app lets you enable a small set of clinically-relevant conditions so the simulation accounts for them in your baseline.

What's tracked

The app's condition catalog is intentionally narrow — only conditions whose physiology is modeled:

• ADHD
• Autism spectrum
• Depression
• Anxiety
• POTS (Postural Orthostatic Tachycardia Syndrome)
• MCAS (Mast Cell Activation Syndrome)
• Insomnia
• PCOS (Polycystic Ovary Syndrome)
• COMT (slow) — catechol-O-methyltransferase variant affecting dopamine clearance.
• MTHFR — methylation pathway variant.

Why so few? The simulation engine has explicit pharmacology adjustments for each one. Adding a condition means writing the math for how it shifts the model. We only add conditions where we can actually back the change with real biology.

What's not in the list

If your condition isn't here, don't shoehorn it into something close:

• General autoimmune conditions, IBS, IBD, GERD, migraine, fibromyalgia — not modeled. Track via day notes and symptoms instead.
• Rare diseases — out of scope.
• Cancer history — out of scope.

How to enable

1. Profile → Conditions.
2. Toggle each condition you have.
3. Some conditions have parameters (e.g., POTS has a "severity" parameter, PCOS has subtype options). Fill in if applicable.
4. Save.

Only enabled conditions affect the simulation. Disabling reverts the simulation to baseline for that condition.

How conditions affect the simulation

Each condition has its own adjustments. Examples:

• PCOS: shifts insulin sensitivity, modifies cycle hormone profiles, adjusts androgen baseline.
• POTS: alters cardiovascular response to exercise and posture changes.
• ADHD / autism: dopamine and norepinephrine baseline shifts; affects stimulant response if the user logs related compounds.
• Depression / anxiety: HPA axis (cortisol response) tuning.
• Insomnia: cortisol, melatonin, growth hormone pulse timing changes.
• MTHFR / COMT: pathway-level adjustments to methylation and catecholamine clearance.

The adjustment factors are designed to be conservative — significant enough to matter, not so aggressive that any one condition swamps the rest of the model.

Combinations

Multiple conditions stack. PCOS + insomnia + anxiety produces a cumulative shift in cortisol baseline. The math doesn't double-count where conditions overlap; the engine handles the combinations explicitly.

Should I enable conditions I'm not sure I have?

No. Only enable diagnosed conditions or ones where you have strong evidence (e.g., a documented genetic variant for COMT or MTHFR; a positive lab result for PCOS criteria).

The simulation is more useful when its assumptions match reality. Enabling conditions you don't have produces a model tuned to the wrong baseline — you'd be reading predictions from a person who doesn't exist.

Common questions

"Why is PCOS in here but not endometriosis?" PCOS has well-characterized metabolic effects (insulin sensitivity, androgens) that the engine models. Endometriosis affects the reproductive system but doesn't have the same kind of system-wide metabolic signature. We don't add a condition unless we have something specific to tune.

"What if I have something like type 2 diabetes?" Enter your diabetes-relevant labs (HbA1c, fasting glucose, insulin) on Bloodwork. The simulation reads from labs, not from a "T2D" flag. The values themselves drive the model.

"Are conditions visible to the AI assistant?" Yes. The AI sees enabled conditions and can reference them in explanations. Same for the export and account deletion.

"Will more conditions be added?" Slowly. The threshold is "we can model this in the simulation." Conditions purely for context (without simulation impact) might be added as informational tags, but they don't drive math.

Privacy

Conditions are personal medical data. Stored encrypted, against your account only, never used in cross-user analytics. Included in export and removed on deletion.

Related

• Bloodwork — labs that complement condition flags.
• Genetics — variant-level tuning.
• Endogenous simulation — how conditions plug into the math.