Clinical AI fails under real physiological conditions
Most models are validated on stable data — not under treatment, deterioration, or biological variation.
Select your domain
Healthcare AI
Evaluate AI systems under unobserved physiological conditions
Research
Access structured mechanistic datasets
Pharma & Devices
Support validation prior to regulatory submission
Insurance & Risk
Quantify failure risk under stress scenarios
Veterinary & Agriculture
Simulate biological systems beyond human health
Real-world data does not cover critical conditions
Rare events remain underrepresented in available datasets.
Edge-case physiological scenarios are not captured in routine data collection.
AI systems may degrade when deployed outside observed conditions.
A simulation infrastructure for life sciences
TamRx provides a structured environment to generate and evaluate physiologically plausible
temporal scenarios across biological systems.
