R&D · AIIn development· Cluster Lab
PRIMUM
Retraining medical models so they don't fail where it matters.
🌐 Available in Spanish, English and more languages
I retrain MedGemma 4 and Gemma 4 on RunPod to improve them on the clinical cases where we prove they fail. My AI lab: where I learn what I then apply everywhere else.
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The problem
What it solves
Open medical models (MedGemma, Gemma) fail on specific clinical cases where it matters most.
The solution
How it solves it
I retrain those models on RunPod to improve their performance exactly where they fail.
The difference
Why it's different
A surgeon designing the test cases and the fine-tuning: clinical domain applied to AI.
The intelligence
How AI comes in
It's AI on top of AI: I identify the clinical failures, build datasets and fine-tune the models.
What it does
Key features
- Fine-tuning MedGemma 4 / Gemma 4
- Clinical test cases
- Performance benchmarks
- RunPod infrastructure