Run an experiment
Change bounded hypothetical inputs, pin a baseline, compare exposure measures, and save the experiment for later.
AxiKinet by Axiwoven
Development build 0.7.2Learn pharmacokinetics by running the model.
AxiKinet turns PK concepts into short experiments. Make a prediction, change a model input, inspect the concentration-time curve, and explain what happened.
An earlier development screen from the model laboratory. The current build adds clearer guidance and twelve lessons across four learning paths.
PlatformiPhone
Current build0.7.2 (build 10)
Curriculum4 paths · 12 lessons
AvailabilityPrivate development
Inside the build
Three ways to work with the models.
Every result remains tied to its input values, model type, time window, and source context.
Compare fixed cases
Plot selected cases on the same axes, choose the observation window, and inspect differences in peaks and exposure.
Use the model in a lesson
Predict the result, run the model, explain the curve, apply the idea to a second example, and finish with a short check.
Learning design
The model is part of every lesson.
Start with orientation
A first-run guide explains Explore, Drugs, Learn, and Saved, along with the app's scientific limits.
Read charts in words
Each of the nine chart types includes a text interpretation and a matching accessibility description.
Check understanding
Each path ends with three questions. Results are stored locally, and missed concepts link back to the relevant lesson.
What changed in 0.7.2
Clearer explanations throughout the app.
- All twelve lessons use shorter explanations and concrete examples
- Clearance, volume, exposure, and half-life are explained before use
- PK/PD exercises explain response strength, sensitivity, and effect-site delay
- Existing lesson progress, equations, drug parameters, and source citations are preserved
Scientific scope
What the current examples cover.
The build includes illustrations based on retatrutide, semaglutide, tirzepatide, and historical cefazolin cases. Introductory PK/PD lessons use synthetic, unitless effects rather than clinical endpoints.
AxiKinet does not predict an individual's response, evaluate efficacy or safety, set clinical thresholds, or recommend a dose.
Review the references and source statusVerification status
Automated checks pass; human review remains.
- 36 core test methods passed
- The unsigned iPhone Release build, static analysis, and simulator test compilation passed
- Earlier simulator checks covered onboarding, lessons, assessment, and saved progress
- A fresh visual and workflow review of the 0.7.2 wording remains pending
- Independent scientific review, physical-device testing, minimum-iOS testing, and manual VoiceOver review remain open
For learning and research exploration
AxiKinet is development-stage educational software. It is not medical advice, clinical decision support, or a validated tool for individual prediction.
Development updates
Hear when a build is ready to test.
Get occasional AxiKinet and AxiPrep updates, including requests for early testers. The list is managed manually.