The Franco-Moroccan Research Center Summer School will be held at SCAI, Sorbonne University, Paris, from 7 to 11 July 2025.
The new Franco-Moroccan Research Center Summer School offers immersive, interdisciplinary training for students and researchers from France and Morocco. The theme for 2025 is 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.
Objectives:
The primary objectives of this summer school are:
– To provide participants with a comprehensive understanding of AI approaches in healthcare;
– To facilitate interdisciplinary dialogue on the ethical, technical, and regulatory dimensions of AI applications;
– To offer hands-on sessions and case studies that highlight the real-world impact of AI in medical settings;
– And to foster collaboration and networking among international students and researchers working on AI for health.
Organization:
The summer school will be structured as follows:
– Keynote Lectures (1h): Renowned experts in AI and healthcare will present insights into cutting-edge research and emerging trends.
– Courses (1h30 to 2h): In-depth sessions covering fundamental and advanced topics in AI for healthcare.
– Hands-on sessions (2h to 4h): Practical sessions focusing on AI methodologies, tools, and applications in healthcare.
– Panel Discussions (45 min): Interactive sessions addressing ethical and regulatory concerns in AI-driven healthcare solutions.
– Student and Researcher Presentations (1h): Opportunities for participants to present their work and receive feedback from peers and experts.
– Lab Visits: Participants will have the opportunity to visit research labs to witness AI applications in real-world settings.
Topics:
– 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.
Program:
| Monday 7th July |
| 9am – Welcome session 9:30 – Isabelle Bloch (SU) 10:30 – Break 11:00 – Andrea Pinna (SU) 12:00 – Participant presentations 13:00 – Lunch 14:00 – Ihsane Hmamouchi (UIR) 15:00 – Round table 1 16:00 – Break 16:30 – Hands-on session 1 : Alaa Zniber (UIR) 18:30 – End of the day |
| Tuesday 8th July |
| 9am – Clément Rambour (SU) 10:30 – Break 11:00 – David Cohen (SU, APHP) 12:00 – Career – Mentoring 13:00 – Lunch 14:00 – Mohammed El Hassouni (UM5) 15:00 – Mounir Ghogho (UM6P) 16:00 – Break 16:30 – Hands-on session 2 : Hakim Hafidi (UIR) 18:30 – End of the day |
| Wednesday 9th July |
| 9am – Ignacio Avellino (SU) 10:30 – Break 11:00 – Christian Daul (UL) 12:00 – Ouassim Karrakchou (UIR) 13:00 – Lunch 14:00 – Labs visits 16:00 – End of the day |
| Tuesday 10th July |
| 9am – Hands-on session 3 : Baptiste Gregorutti (SU) 11:00 – Break 11:30 – Karim Baïna (UM5) 13:00 – Lunch 14:00 – Malika Smail-Tabbone (UL) 15:30 – Break 16:00 – Hands-on session 4 : Hamed Rahimi (SU) 18:00 – End of the day |
| Friday 11th July |
| 9am – Youssef Gahi (UIT) 10:30 – Break 11:00 – Participant feedback 12:00 – Closing session 12:30 – Lunch 14:00 – End of the school |
Link to the summer school website.
Contact: Mohamed Chetouani, Professor at Sorbonne University, mohamed.chetouani(at)sorbonne-universite.fr
Published on 25/06/2025.
