ZeqDosing

PK/PD, dose-response, clinical trial modeling.

• Protocol ID — zeq-dosing
• Category — Pharma
• Endpoint — POST /api/pharma/dosing
• Auth — api-key
• Rate limit — 15/min
• Version — 1.287.0
• Precision — ≤0.1% (KO42-enforced)

What it does

Individualized drug dosing. Population PK models (NONMEM-style), Bayesian dose adjustment, therapeutic drug monitoring with HulyaPulse sampling schedules.

Signature

Request

POST /api/pharma/dosing

Param	Type	Required	Default	Description
drug	string	✓	—	Drug name or identifier.
patientParams	object	✓	—	{ weight_kg, creatinine, age, sex }
levels	array		—	[{ time, concentration }] measured drug levels.

Response

{ recommendedDose, interval_hr, peakPredicted, troughPredicted, auc, zeqond }

Runnable example

curl -sS -X POST \
  -H "Authorization: Bearer $ZEQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "drug": "<value>",
  "patientParams": {},
  "levels": []
}' \
  "https://api.zeq.dev/api/pharma/dosing"

Integrate

1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

• Near — wrap /api/pharma/dosing in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating ZeqDosing alongside a real workload, with pulse-aligned metrics.
• Far — propose ZeqDosing as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

• Zeq paper — https://doi.org/10.5281/zenodo.18158152
• Framework paper — https://doi.org/10.5281/zenodo.15825138

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.