1-12 July 2019
European Scientific Institute, Archamps
France (Greater Geneva)
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OVERVIEW

This new bioHealth Computing school addresses the complex challenge of reinventing European healthcare systems in the light of Artificial Intelligence (AI). Focusing on healthy living and active ageing, the school uses a needs-led approach founded on experience-based co-design methodology.

Participants will learn how to optimize R&D efficiency in innovative A.I. for health projects and also how to bridge the gap between the proof of efficacy required to pass regulatory scrutiny and the statistical demonstration of likely effectiveness needed to satisfy health technology assessment bodies.

COURSE DELIVERY & LEARNING OUTCOMES

School Coordinator : Philippe Sabatier (Université Grenoble Alpes)

A challenging mix of theoretical and practical modules in A.I. technology and innovation will inspire  participants to develop business models of market-acceptable products and services using A.I. technologies.

The team with the best idea/business plan will be offered the opportunity develop their project with  the KTH – EIT Health incubator.

COMPONENT 1
Artificial intelligence

Learning outcomes: By the end of the School, participants will have learned to :

  • Understand what constitutes A.I. in terms of objectives, concepts and functions, and how A.I. brings capabilities beyond conventional technology,
  • Implement A.I. techniques, such as Search algorithms, Bayesian networks, Machine and Reinforcement learning for problem solving,
  • Understand the limits of current A.I. techniques,
  • Categorize an A.I. problem based on its characteristics and constraints.
COMPONENT 2
Clinical investigation

Learning outcomes: By the end of the School, participants will have learned to :

    • Assess the needs (clinical and market) of developing a new A.I. based app and define the outline of the development plan of this app.
    • Review and evaluate medical innovations; Manage usability studies, clinical investigations and post-market follow-up studies,
    • Appreciate the « confidentiality » of information, maintain the protection of industrial property, find the necessary regulations for the development of a new technologies,
    • Analyse complex health, wellbeing and ageing conditions; Identify short- and long-term consequences of plans and decisions; Adapt professional practices, moving towards a sustainable society.
COMPONENT 3
Creativity, Innovation, Entrepreneurship & Leadership.

Learning outcomes : By the end of the School, participants will have learned to :

  • Think beyond boundaries and systematically explore and design/invent/implement a new idea, system, component or process which meets emergent needs in healthcare and wellbeing
  • Develop an understanding of patient/citizen needs,
  • Identify, formulate and solve engineering problems in the healthcare domain, and translate innovations into feasible business solutions within realistic constraints (economic, environmental, social, political, ethical, safety …),
  • Decision-making and leadership, based on a holistic understanding of the contributions of Higher Education, research and business to value creation, in limited sized teams.
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APPLICATION PROCESS

EXTENDED Deadline for applications: 27 May 2019

The student body comprises a maximum of 30 participants from a range of backgrounds including materials, health and life-science, business, engineering and computing …  

The application form includes a section where candidates should provide a 50 to 200-word outline of an innovative idea or project related to A.I. products and services. The best ideas will serve as the basis for a group project in the Business development & Innovation component of the school. The idea or project might be expressed in terms of :

  • unmet societal needs which could benefit from the development of A.I. products or services for healthcare;
  • the (re)deployment of an existing A.I. technology in an innovative healthcare product or service;
  • currently unavailable but potentially marketable products or services involving A.I. technology for health.

SELECTION

Pre-ranking of applicants is based on academic background in order to ensure a cross-disciplinary student body.

Final selection is based on the applicants CV, stated motivation and relevance of the proposed innovation project. Criteria will focus on the capacity for calculated risk, focus on community, open and critical thinking, initiative with follow-through.

Successful applicants will be informed by 31st May 2019.

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REGISTRATION FEES

Registration fee: €600

ESI has pre-booked single rooms at the Ibis Budget Archamps hotel, approx. €800 for the duration of the school.

Financial assistance through the School’s funding mechanism is available to the highest-ranked applicants.

ECTS ACCREDITATION

6 ECTS are awarded by Université Grenoble Alpes to Master and PhD students who complete the whole programme and take part in the oral defense (pitch of innovation project).

If required, UGA will transfer the ECTS directly to the participant’s home university.

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OFFICIAL PARTNER

logo eit eu_Plan de travail 1
European Scientific Institute
Bâtiment Mont Blanc 1,
61 Rue Antoine Redier,

74160 Archamps

+33 (0) 4 56 44 81 40