Recherche Axes de recherche Axe 3 Lab PersMed

Personalized Medicine and Data. Technologies, Welfare System, and Ethical Issues

(depuis 2022)

During the last decades, tremendous progress has been achieved in the application of new technologies to health. In this context, there are rising expectations that major health issues can be technologically managed and that we will observe further increase of human longevity. In particular, it allows us ambitioning the development of personalized medicine, i.e. diagnosis and treatment that are tailor-made for each patient. A key is the accumulation of data in order to increase our knowledge of each patient through the statistical management of individual heterogeneity.

The potentialities of data management by extended intelligence or by artificial intelligence (AI) have attracted a lot of attention. It is considered as the most promising avenue in terms of innovation and transformation of our socio-economic systems but also of our intimate life. To put it simply, AI in healthcare is an overarching term used to describe the use of AI to mimic human cognition in the analysis, presentation, and comprehension of complex medical, and health care data. Although the concrete applications of AI to healthcare are diverse, it is possible to consider that the primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes. At the same time, despite or because of all these promises, AI in healthcare raises several unprecedented ethical concerns related to its practice such as data privacy, automation of jobs, and representation biases.

In our project, three fundamental questions will be at the center of our investigation:
1) What are the respective benefits of home care and hospitalization?
2) How personalized medicine can contribute to a public policy of prevention?
3) How to conciliate the development of personal medicine and the protection of personal data?


Research Team


Team Members


Project Manager: Fabien MICHEL