Disclaimer,
references, sources.

Protokol Lab is an organizational and mathematical modeling tool. It does not provide medical advice, diagnose conditions, prescribe treatment, recommend doses, suggest titration schedules, or endorse the consumption of any substance. It is not a medical device under FDA regulation and is not a covered entity under HIPAA. Consult a licensed medical professional before making any decision about your medication or health.

Scope of the product

Protokol Lab is a tracker. It helps users record food, weight, doses, symptoms, and notes, and visualizes those records. It does not substitute for professional medical advice, consultation, diagnosis, or treatment. Users assume full and unmitigated responsibility for their individual dosing decisions and schedule adherence.

Protokol Lab does not sell, ship, distribute, refer users to, or endorse any pharmacy, telehealth provider, compounding facility, or substance.

Pharmacokinetic defaults

Built-in compound half-lives are provided only for FDA-approved GLP-1 receptor agonists and reflect published peer-reviewed data. Protokol Lab does not publish pharmacokinetic defaults for compounds that are not FDA-approved. Users who choose to track other substances must supply their own half-life values and assume full responsibility for the accuracy of those values and for the legality of any substance they choose to track.

Compound	Default t½	Source
Tirzepatide	~5 days	Urva S, et al. Clinical Pharmacokinetics (2021)
Semaglutide	~7 days	Lau J, et al. Journal of Medicinal Chemistry (2015)
Liraglutide	~13 hours	Agersø H, et al. Diabetologia (2002)
Dulaglutide	~5 days	Barrington P, et al. Diabetes, Obesity and Metabolism (2011)

Modeling approach

Doses are modeled using the Bateman equation (two-compartment PK with first-order absorption and first-order elimination):

C(t) = D · (k_a / (k_a − k_e)) · (e^−k_et − e^−k_at)

where D = dose, k_a = absorption rate, k_e = elimination rate (ln(2) / t½). Stacked doses are summed linearly — a reasonable approximation below receptor saturation.

Pharmacokinetic charts are mathematical estimates for informational purposes only and do not reflect real-time biological or serum diagnostics.

Limitations

Individual pharmacokinetics vary with weight, renal function, and genetics. Population averages may not match personal kinetics.
Active-level curves are mathematical estimates — they do not account for receptor desensitization, antibody response, or dose-dependent clearance.
Symptom correlations are observational, not causal.
Calorie and macro data depend on user-provided food entries. Brand-name nutrition databases update faster than our library; verify totals if precision matters clinically.

Privacy and data handling

Protokol Lab stores health data in encrypted form on our servers when cloud sync is enabled. Data is never sold, never used for ad targeting, and never shared with third parties. Users can export their complete history as JSON or CSV at any time and delete their account and data permanently from Settings.

Contact

Medical questions, source corrections, or research collaborations: [email protected].

Disclaimer,references, sources.