Home Programme Timetable & learning outcomes

Timetable & learning outcomes

This summer school addresses the critical need for advancing biomedical tools, with an emphasis on cancer diagnostics, biosensors, and biotechnologies. Through expert-led sessions, practical workshops, and networking opportunities, participants will gain the skills and connections necessary to contribute to innovative research and its clinical translation. By the end of the programme, participants will:

Develop an interdisciplinary understanding of cancer research and biomedical tools.
Acquire hands-on experience in biosensor fabrication, advanced algorithms, and open-access prototyping.
Explore entrepreneurship and intellectual property management to drive innovation.
Gain insights into achieving gender balance and advancing careers in academia and industry.

Teaching methods

To ensure an engaging and comprehensive learning experience, the summer school employs:

Lectures: covering core topics, including clinical aspects, advanced materials, and AI applications.
Hands-on workshops: practical training in biosensor fabrication, data acquisition, and prototyping.
Roundtable discussions: engaging sessions with professionals from cancer centres and hospitals.
Poster sessions: opportunities for participants to present their research and receive feedback.
Networking events: facilitating collaboration between researchers and industry professionals.
Career development workshops: guidance on career paths, entrepreneurship, and gender equity.

Tentative programme

Please note: the schedule is presented in Central European Summer Time (CEST).

Monday June 30^th	Tuesday July 1^st	Wednesday July 2^nd	Thursday July 3^rd	Friday July 4^th
9.00 - 10.00 Opening session and agenda overview: Foundations of collaborative research in breast cancer	9.00 - 9.45 Advanced biomaterials for medical sensors *Rafaele Velotta*	9.00 - 9.45 Basics of artificial intelligence for medical applications Olivier Ly	9.00 - 11.10 Additive, micro, and nanotechnologies for medical applications Emile Martincic, Laurent Mazenq	9.00 - 10.00 Intellecutal property and commercialisation strategies Stephan Bert
10.10 - 11.00 Breast cancer: epidemiology, clincal research, and statisticals insights Nawale Hajjaji	9.50 - 10.30 Biometric polymers for medical applications Elisabth Garanger	9.50 - 10.35 AI for biological problems and interpretation of sensor data Matjaz Gams		10.10 - 11.10 Starting a biotech or sustainable company Hadi Heidari
11.20 - 12.20 Biomarkers in breast cancer: current advances and immunological challenges *Céline Blaye*	10.45 - 11.25 Smart biosensors for cancer diagnosis Radislav A. Povrailo, Philippe Pernod	10.45 - 11.25 Model-based solutions: an asset for ethical and sustainable AI in biomedical engineering Jérôme Cieslac	11.20 - 12.20 Clean room analysis methodologies Abdelkrim Talbi	11.20 - 12.20 Career development and gender equity in academia and industry Bérengère Lebental
		11.30 - 12.20 Neuromorphic system (AI and emulation) for medical applications Timothé Lévi
12.20 - 14.00 Welcome lunch	12.20 - 14.00 Lunch	12.30 - 14.00 Lunch	12:20 - 14:00 Lunch	12.20 - 14.00 Lunch End of the summer school
14.00 - 15.00 Current advances in breast cancer imaging: challenges and future perspectives Foucauld Chamming's	14.00 - 15.00 Hands-on session: RF and acoustic sensors *Hamida Hallil*	14.00 - 15.00 Cell impedancemetry and modeling applications Florian Kolbl	14.00 - 15.00 Transfer to FabLab
15.10 - 16:10 Modeling breast cancer progression: organoids as in vitro tools for precision medicine Richard Iggo	15.10 - 16.10 Hands-on session: Gas Phase QCM Shreyas Deshpande, Hamida Hallil	14:00 - 17.20 Hands-on session: Impedancemetry with cell culture *Florian Kolblk, Florence Poulletier de Gannes*	15.10 - 16.10 Training on open access tools for design and prototyping *Pierre Grange Praderas*
16.20 - 17.20 Roundtable discussion: Translating research into clinical practice Céline Blaye, Gerolama Condorelli, Nawale Hajjaji, Richard Iggo, Pierre Soubeyran, Marco Trerotola	15.30 - 16.00 Hands-on session: Liquid phase QCM Hamida Hallil, Annesha Mazumder		16.20 - 17.20 Hands-on session: Fabrication of prototypes by additive technologies Jean-Baptiste Bonnemaison
		19.00 Gala dinner

Programme may be subject to change.

Learning outcomes

Throughout the programme, course content will:

Equip participants with skills in clinical data acquisition and analysis,

Explore advanced technologies and methodologies, including the development and application of smart biosensors,

Enhance understanding of materials science, additive manufacturing and nanotechnologies in medical applications,

Foster networking and collaboration among doctoral candidates, researchers and industry professionals,

Address career and gender aspects in academia and industry, and provide guidance on entrepreneurship and intellectual property.

A certificate of participation will be awarded to participants upon completion of the course.