[360Labs.ai]
{ 360Labs }Case Study
{ Research and Development }· Live

Sanad 1.0

Fine-tuned clinical AI on MedGemma-27B for Arabic-English medical workflows.

Sanad 1.0
// overview

Sanad 1.0 is a fine-tuned clinical AI model built on Google's MedGemma-27B for Arabic and English medical workflows. Four progressive QLoRA fine-tuning stages produce a single base model with a task-specific router that handles clinical scribing, diagnosis, differential diagnosis, and Arabic-English medical translation. Released on Hugging Face for open research and clinical use across the Middle East.

// specs

Specifications

Base ModelGoogle MedGemma-27B
Training4-stage progressive QLoRA fine-tuning
LanguagesArabic and English clinical workflows
TasksScribe, Diagnosis, Differential Diagnosis, AR↔EN translation
// features

Features

  • 01Fine-tuned on Arabic and English medical corpora
  • 02Single base model with a task-specific router
  • 03Clinical scribing, diagnosis, and differential diagnosis tasks
  • 04Arabic ↔ English medical translation
  • 054-stage progressive QLoRA training pipeline
  • 06Published on Hugging Face for the research community
// architecture

Architecture

TRAINING + ROUTING

MedGemma-27B Base (Google)
4-Stage Progressive QLoRA
Sanad 1.0 Router
Scribe
Diagnosis
Differential Dx
AR ↔ EN
Task-Specific Outputs

Interested
in Sanad 1.0?

Let's discuss how this can work for you.

Get in Touch →
// end of case studySanad 1.0