The DOORS (Digital Open Online Resources Sharing) platform is an innovative educational environment, developed at Université Grenoble Alpes (UGA), designed to support data science and artificial intelligence education applied to healthcare.
A Technological Environment Tailored for Data Science and AI Learning
DOORS is built on a robust and modular infrastructure, enabling hands-on experimentation with key AI and data science concepts in healthcare. Its main features include:
- A JupyterHub-based environment: allowing students to execute interactive notebooks that combine text, mathematics, and code, fostering an active learning experience that blends theory with hands-on practice.
- Access to real and simulated health datasets: enabling students to manipulate both structured and unstructured data to understand the challenges of health data analysis and exploitation.
- A scalable and secure architecture: hosted on university servers, ensuring data protection while providing computational resources suited for machine learning and deep learning tasks.
- Compatibility with multiple languages and frameworks: supporting Python, R, TensorFlow, PyTorch, and Scikit-learn, allowing students to explore different machine learning and modeling approaches.
A Hands-On Educational Tool for Experiential Learning
DOORS is designed to promote learning by doing, seamlessly integrating into AI for healthcare training programs. The platform enables:
- Guided, interactive practical sessions: through educational notebooks with progressive exercises to help students manipulate, explore, and model health data.
- Real-world case studies: allowing students to apply AI methodologies to health data while addressing ethical and regulatory challenges related to health data usage.
- A flexible learning approach: adaptable for both initial and continuing education, available on-campus and remotely, with optimized cloud-based accessibility.
DOORS and the AI4OneHealth Program
As part of the AI4OneHealth master’s program, DOORS provides a key educational infrastructure to develop students' skills in:
- Data science and biomedical data management
- Machine learning and deep learning for healthcare
- Interpretation and visualization of medical data
- Development of clinical decision-support algorithms
By integrating DOORS into the curriculum, AI4OneHealth students gain hands-on experience in a realistic professional environment, leveraging cutting-edge tools while benefiting from a structured learning framework.
With DOORS, the AI4OneHealth program is equipped with an innovative educational tool, enabling progressive skill development and preparing the next generation of AI experts in healthcare.