Planned health : physical and numerical methods in health

Medical physics, medical imaging, biophysics, artificial intelligence, biomedical engineering, medical devices, nanomedicine
Physical and numerical methods applied to health play nowadays a critical role in developing state-of-the-art solutions for health. The program Planned Health is welcoming ambitious students who want to tackle challenges in healthcare, aging and chronic diseases with innovative methods in instrumentation, experimental methods, medical imaging, innovative medical devices, storage and treatment of complex data, modelling and simulation, together with new approaches stemming from artificial intelligence.

Research and innovation in health - and particularly in the prevention, diagnostic, therapy and follow-up of chronic diseases (such as cancer, neurodegenerative diseases, epilepsy, osteo-articular diseases, etc) have ever-increasing needs in terms of instrumentation, experimental methods, storage and treatment of complex data, modelling and simulation, together with new approaches stemming from artificial intelligence.

Innovating to develop advanced physical and digital methods with and for the actors of innovation in health (labs, healthcare institutions, industrial partners) is a major societal challenge that requires new transdisciplinary training at the graduate level.

The program Planned Health is welcoming ambitious students who want to tackle these challenges in healthcare, aging and chronic diseases with innovative physical and numerical approaches.

How to apply

Courses are taught in French or English depending on the Masters programme concerned. The teaching units of the thematic programme are taught in English. A B2 level in English is required to be eligible for the thematic program.

To apply to this programme, you must first be admitted to the first year of a Master's programme in one of the following courses:
 
Master Year Academic department Language
Methods and Technologies for Health M1 Faculté de médecine French
Soft Matter and Biophysics M1 UFR Phitem English
Physics - Research and innovation M1 UFR Phitem French
BioHealth Engineering M1 Faculté de pharmacie English
BioHealth Engineering M2 Faculté de pharmacie English
BioHealth Engineering 2nd year Phelma English
Artificial Intelligence for Health M2 Faculté de pharmacie English
Models, Innovation and Imaging (MITI) M2 Faculté de médecine French
Medical Physics - Radiation Protection of Humans and the Environment M2 UFR Phitem French
BioHealth Engineering 3rd year Phelma English

Specific courses for thematic programme

  • Collaborative research project in physical and numerical methods in health- The work will be performed in a lab working in innovation in health using physics or numerical approaches. 6ECTS in Master 1, 2nd semester.
  • Intensive school at the European Scientific Institute in Archamps to be chosen between ESIPAP or one of the Biohealth Computing schools. 6 ECTS, In master 2nd year.

Doctoral schools involved

  • École doctorale Mathématiques, sciences et technologies de l'information, informatique
  • École doctorale de physique
  • École doctorale Ingénierie pour la santé, la cognition et l'environnement
  • École doctorale Électronique, électrotechnique, automatique, traitement du signal
   
Updated on  July 6, 2023