README.md

metadata

title: VAJRAM- Multiple Myeloma Agent
emoji: 🔬
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 6.6.0
python_version: '3.10'
app_file: app.py
pinned: false
license: apache-2.0
short_description: It is an edge deployable agent for clinical use.

🔬 VAJRAM: AI-Assisted Multiple Myeloma CDSS

VAJRAM is a fully localized, agentic AI Clinical Decision Support System designed for resource-constrained hematology clinics. Running entirely on heavily quantized Vision-Language Models (VLMs), it provides secure, edge-capable analysis without compromising patient data privacy.

🚀 Key Technical Novelty: Agentic Mixture of Adapters (MoA)

Traditional multi-agent systems require massive hardware overhead to run multiple distinct LLMs simultaneously. VAJRAM bypasses this bottleneck. The LangGraph orchestrator treats highly specialized LoRA adapters as its agentic toolset. By maintaining a single quantized base model in RAM and dynamically hot-swapping specialized adapters for distinct diagnostic tasks (e.g., risk stratification, disease progression analysis), VAJRAM achieves massive multi-agent reasoning on standard edge CPUs.

Core Features

• Vision-RAG Architecture: Ingests complex oncology guidelines (like ESMO or localized hospital protocols) preserving visual flowchart logic.
• WSI Patch Analysis: Integrates multimodal vision encoders to analyze bone marrow biopsy patches.
• Bring Your Own Data (BYOD): Agnostic guideline ingestion ensures compliance with enterprise IP and localized standard-of-care practices.

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⚠️ Legal & Clinical Disclaimer

This application is a Clinical Decision Support System (CDSS) intended for use by licensed medical professionals. It does not replace professional medical judgment.

• The AI engine relies on the specific medical guidelines uploaded by the host clinic.
• The user is solely responsible for ensuring they possess the appropriate enterprise licenses for any copyrighted guidelines (e.g., NCCN, Elsevier/ESMO) uploaded to the vector database.