Franco-Moroccan Research Center Summer School : Sustainable AI for Resource-Constrained Healthcare

From personalized medicine to intelligent diagnostics, robotic assistance, and ethical AI governance, artificial intelligence is transforming healthcare. AI enables the analysis of large datasets to support medical decision-making, improve patient outcomes, and optimize healthcare systems. This summer school aims to explore the scientific and technological advances shaping the future of AI-driven healthcare, with particular attention to resource-constrained environments. It will also foster dialogue between experts in AI, medicine, and ethics. As part of a strategic partnership between French and Moroccan research institutions, the event offers participants a unique opportunity to gain insights into cutting-edge AI tools and methods for addressing healthcare challenges—while expanding their international networks.

Themes

• Machine learning & Medical Imaging in Resource-Limited Settings

• Explainable AI for healthcare

• Graph neural networks & Knowledge graph for medical and biomedical applications

• VLMs-LLMs for Human-Machine Interaction

• Ethics, law and compliance of AI systems in healthcare

• Serious games for neuro-developmental disorders

• Conducting studies in hospitals

   

Speakers

• Ignacio AVELLINO , Sorbonne University
• Karim BAÏNA, Université Mohammed V
• Isabelle BLOCH, Sorbonne University
• David COHEN (MD), Sorbonne University, AP-HP
• Christian DAUL, Université de Lorraine
• Mohammed EL HASSOUNI, Université Mohammed V
• Youssef GAHI, Ibn Tofail University
• Baptiste GREGORUTTI, Sorbonne University
• Hakim HAFIDI, UIR
• Ihsane HMAMOUCHI (MD), UIR
• Ouassim KARRAKCHOU, UIR
• Andrea PINNA, Sorbonne University
• Hamed RAHMI, Sorbonne University
• Clément RAMBOUR, Sorbonne University
• Malika SMAIL-TABBONE, Université de Lorraine
• Alaa ZNIBER, UIR