🧠 GBM Clinical Query System

Advanced Clinical Dosing Support for TMZ and Avastin

⚠️ DISCLAIMER: Not for Clinical Use ⚠️

This system is for educational and research purposes only. Always consult qualified healthcare professionals for medical decisions.

C₆H₆N₆O₂ - TMZ

Temozolomide

Alkylating Agent

149 kDa - mAb Structure

Bevacizumab

VEGF Inhibitor

Glioblastoma Multiforme Temozolomide (TMZ) Bevacizumab (Avastin)

Advanced AI system analyzing 693+ clinical documents for evidence-based GBM treatment

🏥 IMPORTANT MEDICAL DISCLAIMER

This system is designed as a clinical decision support tool for healthcare professionals. It provides information from authoritative medical sources but does not replace clinical judgment. Always verify information with current institutional protocols and consult specialists for complex cases.

GBM CLINICAL QUERY SYSTEM

Delivers precise, evidence-based dosing, toxicity, and treatment recommendations for GBM Multiforme (TMZ and Avastin)—so you don't frantically sift through 80-page PDFs.

How to Use This System

This interface connects to the real GBM AI system running on your local computer. Follow these steps to get started:

Quick Setup (5 minutes):
  1. Clone the repository:
    git clone https://github.com/pandeychetanya/gbm-clinical-query-system.git
  2. Install dependencies:
    pip install -r requirements.txt
  3. Create the clinical database:
    python3 create_vector_db.py
  4. Start the API server:
    python3 minimal_server.py
  5. Use this interface: Once your server is running, this page will connect automatically!

API Server Offline - Please start the local server first

Clinical Query Interface

Click an example query above or enter your own clinical question to see how the system works!

Intelligent Highlighting

Color-coded highlighting of clinical terms, dosages, and toxicity grades for quick identification.

Clinical Summarization

AI-generated summaries with key facts, clinical warnings, and evidence sources.

Advanced Filtering

Filter by document type, evidence level, clinical topic, and drug specificity.

Smart Suggestions

Query refinements and alternative formulations to help find the exact information needed.

Medical AI Models

PubMedBERT embeddings and BioBERT re-ranking for clinical relevance and accuracy.

Evidence-Based

Information from FDA prescribing info, NCCN guidelines, and peer-reviewed clinical trials.