Asclepios AI is a data-driven treatment optimization platform designed for Substance Use Disorder (SUD). Our solution leverages machine learning to predict optimal treatment duration, reduce recidivism, and improve resource allocation in rehabilitation facilities.
Current SUD treatment faces significant challenges:
- 30% readmission rate within one year\
- High recidivism due to premature discharge\
- Lack of standardization in treatment personalization\
- Resource mismatches between patient needs and facility capacity
"How can we predict optimal treatment duration to minimize relapse risk?"
Our platform provides:
- Predict Duration -- Calculates optimal length of stay per patient profile\
- Reduce Readmissions -- Ensures treatment is not cut short\
- Optimize Resources -- Smart allocation of beds, staff, and clinical time\
- Personalize Care -- Tailored recovery plans based on individual data
Metric Performance
High-Risk Identification Accuracy 75%
Duration Prediction Accuracy ±6 days
Demand Forecasting Accuracy ±2 beds
Patient Records Analyzed 1.4M+
This folder contains:
README.md-- Project overview (this file)guide.md-- Additional guidance for reviewers
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Click below to watch the full demo video on YouTube.
Asclepios AI is named after the Greek god of medicine and healing. We bring ancient wisdom into modern data-driven healthcare.
- Rafaa Ali Abdalla
- Caesar Ghazi
- Mohamed Alwathiq Ali
- Wuor Bhang
/6_final_presentation/
├── Asclepios AI Deck p.pptx # Final presentation
├── Asclepios AI Demo.mp4 # Demo video
├── README.md # This file
└── guide.md # Reviewer guide
Asclepios AI enables data-driven personalization that improves patient outcomes while optimizing facility operations---reducing relapse, enhancing care quality, and maximizing resource efficiency.