Cancer Treatment Decisions with AI-Powered
Precision Medicine – A Demonstration
Introducing the Enhanced Colorectal Cancer Decision-Support System - A breakthrough tool that transforms how oncologists and patients make adjuvant chemotherapy decisions.
The Problem Addressed:
Current cancer treatment decisions rely on outdated "one-size-fits-all" guidelines that ignore individual patient characteristics, quality of life impacts, and personal preferences. This leads to over-treatment for some patients and under-treatment for others.
The Innovation:
We've developed the first comprehensive system that integrates:
✅ Personalized Survival Prediction (13 clinical variables)
✅ Toxicity Risk Assessment (validated across 8,000+ patients)
✅ Quality-Adjusted Life Years (QALYs) calculation
✅ Patient Preference Integration
✅ Real-time Clinical Recommendations
Proven Results:
• 74% accuracy in survival prediction (C-index: 0.74)
• 72% accuracy in toxicity prediction (AUC: 0.72)
• 78% concordance with expert oncologist decisions
• Real-time calculations in under 2 seconds
Key Features:
Personalized Risk-Benefit Analysis - Move beyond population averages
Biomarker Integration - MSI status, KRAS, CEA levels
Patient-Centered Approach - Incorporates individual values and preferences
User-Friendly Interface - Designed for busy clinical workflows
Privacy-First Design - No patient data storage required
Clinical Impact:
This system represents a paradigm shift toward truly personalized cancer care, helping:
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Patients make informed decisions aligned with their values
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Oncologists provide evidence-based, individualized recommendations
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Healthcare Systems optimize treatment appropriateness and resource allocation
Try It Now: Experience the future of precision oncology -
https://kadiroo-jayaraman.shinyapps.io/colorectal-cancer-dss/
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Press Ctrl+Click on the above link or copy the link and paste in your browser, browse to the bottom of the page displayed. Then click on the following button viz., ‘Calculate QALY-Based Recommendation’. You may choose the patient characteristics through the sliders.
Disclaimer: This is a research prototype designed for demonstration and educational purposes only. The system requires rigorous clinical validation before any patient care applications. Healthcare professionals interested in validation studies or research collaborations are encouraged to connect via kadirooj@gmail.com.
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