The CNIL unveils the results of its call for projects to support innovation in health

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At the beginning of the year, the CNIL launched a call for “sandbox” projects for adapt to the challenges of digital health and bring agile regulation to innovation. Discovery of selected projects.

Last February, the CNIL published a call for projects to allow innovative goods or services related to the processing of health data to benefit from enhanced support in 2021 as part of its personal data “sandbox” . In particular, the projects had to demonstrate an interest in privacy and the protection of personal data.

Sixty applications were submitted by stakeholders and regions, on various use cases. Following a preselection, an evaluation committee, made up of members of the CNIL and expert external personalities, auditioned the 7 most promising project leaders.

Four selection criteria were retained: the innovative nature of the project, the benefit for the public, the interest in data protection, and a strong commitment by the bearer to the process.

At the end of the deliberations, 4 projects were selected:

• Lille University Hospital project and the Magnet team at Inria concerning federated learning in artificial intelligence applied to clinical studies;

• Resilience start-up project developing a diagnostic aid solution in oncology;

• Magellan project from the Clinityx design office aimed at constructing anonymous statistical indicators for describing populations in medical research;

• Vertexa project of the Arras Hospital Center offering a virtual reality solution for therapeutic purposes to fight against eating disorders in minors.

The innovative ecosystem in the field of digital health having shown a very strong interest in this call for projects and data protection, the CNIL decided, in addition to the four winners selected for the sandbox, to provide ad hoc support to 8 other projects with a strong interest in data protection.

• Mithril project: use of secure microprocessor enclaves for confidentiality purposes;

• CEA’s N4HCould project: cloud solution for health data with services;

• Takadoc project: AI for the diagnosis and management of overweight;

• Air Liquide’s Sarus project: anonymization solution for the treatment of chronic diseases;

• AP-HP MIR project: Imaging AI for decision support in oncology

• project led by the University of Rennes 1: development of a self-learning system with health data;

• Sharp-Tx project: AI for Alzheimer’s prediction and application of preventive treatment;

• Arkhn project: tool for analyzing federated hospital data.

This support will take the form of a personalized meeting with the CNIL teams. Apart from this dozen selected applications, unsuccessful candidates will be able to benefit from webinars hosted by CNIL teams on the subject of health data in the coming months.

Source: CNIL

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