Developing skills for the digital transformation of healthcare

Summer school

Program divided in two parts:

  • REMOTE: 1 9 September 2022
  • FACE-TO-FACE: 12 → 16 September 2022

Welcome from the Director

Improving Medicine of Precision through Health and Medical Data Analysis

The production of health data from the care of patients in a medical environment but also through connected objects or large national databases opened up the new concept of digital health and gave substance to the concept of Medicine of Precision that takes into account the specificity and variability of each patient’s illnesses and thus provides them with the most suitable treatment.

The tools of artificial intelligence, thanks to their ability to process large datasets originating from various source (medical, environmental, epidemiological…) and to establish a “medical meaning” to these data, have become a cornerstone of this medicine of precision. They allow to promote a multidisciplinary and integrative approach to health to meet the challenges of the increasing incidence of chronic diseases and the emergence of infectious pathologies with pandemic risk. They also strengthened the involvement of the patient who becomes an actor in his/her care, thanks to the real-time data that he/she can generate.

In this context, Learning from Health Data summer school is an accelerated learning program proposed by the University Grenoble-Alpes and ESI Archamps, that purpose to immerse graduate students (Master & PhD) and early career professionals in science, informatics and healthcare in a stimulating mix of theoretical courses on AI methods applied to health and medical data together with hands-on sessions where students develop innovative medical products and services to solve unmet challenges of healthcare.

As a full professor of Hematology in Grenoble Alpes Hospital (CHUGA) and the head of a master’s degree program entitled “AI4onehealth”in Grenoble Alpes university (UGA) I am fully aware of the medical and computing challenges of digital health and medicine of precision.


Pascal Mossuz
Learning From Health Data director

Medical doctor, PhD in biology, and Professor at Université Grenoble-Alpes

About the school


To teach advanced topics related to Big Data Computing and Analytics for Health and wellbeing.

To enhance innovation and entrepreneurial awareness amongst participants.

Cover the most critical needs of IT infrastructures for healthy living and wellbeing in domains such as :

  • Data Acquisition
  • Computing Platforms
  • Data Storage Architectures
  • Compute Provisioning & Management
  • Networks & Communication


Students will work on a single challenge during the school: Present the business model of your start up, newly created to develop and implement a predictive tool that could allow to establish the links between the occurrence of a cancer and certain risk factors linked to the trajectory of the patient.


Divided in two parts:

  • REMOTE format: The objective of this first online part is to provide students theoretical bases necessary for interactives sessions that will take place face-to-face. It will include methods of health data analysis, medical knowledge about cancer, a live discussion to well understand the aim of the challenge, and some basic knowledge on I&E. An interactive session with the teachers of the “entrepreneur ship” part will also be planned to allow students to discuss the points of knowledge that cause them difficulties and also to address the question of the challenge on its I&E part.
  • FACE-TO-FACE format: Give students the opportunity to work on health data (practical session/tutorials, exercises, etc.) – Initiate students to notions of entrepreneurship – Stimulate creative and innovative skills of students via a challenge – Favour interactions and sharing between students through team work and the different practical sessions.

Steering Committee

Université Grenoble-Alpes (UGA)

Friedrich-Alexander-Universität (FAU)

Universidade de Lisboa, Tecnico (IST)

Universidade de Lisboa, Tecnico (IST)

Universidad Politecnica de Madrid (UPM)

Universidad Politecnica de Madrid (UPM)

European Scientific Institute (ESI)

Student testimonies

A collaborative partnership involving