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20 search results for: santé

1

Mental disorders: when data helps save lives

For several years now, a team from IMT Atlantique has been working in cooperation with doctors from Brest University Hospital and a psychologist from Fondation Bon Sauveur in Bégard to improve early detection of mental disorders such as schizophrenia and to reduce suicidal relapses. The success of this approach based on digital tools lies in the robustness of the analysis and decision models the scientists have developed. It is also dependent on the quality of the health data, which must be correctly recorded by hospital staff.

2

The cruel dilemma of health data in the ai era: privacy or equity?

Federated learning is a way to collaboratively train artificial intelligence models. It thus represents a possible solution to AI biases, often caused by training said models on samples that lack diversity. In the healthcare sector, these biases can lead to problems of equity between patients. The EQUIHid project explores how federated learning can help develop more equitable healthcare services.

3

A biocluster to boost innovation in cancer treatment

Paris Saclay Cancer Cluster offers a wide range of scientific and technical solutions to support the challenging field of research aimed at fighting cancer. Telecom Paris is invested in this ambitious initiative, which strengthens ties between those driving innovation in oncology and provides access to a combination of technological platforms, databases, expertise and training opportunities.

9

shift89: using augmented reality to pass on industrial know-how

Training plays a key role in industry, given productivity requirements and recruitment challenges facing the sector. The start-up shift89, incubated at IMT Starter and present at VivaTech 2023, uses augmented reality to help industrial companies disseminate expertise and know-how, and highlight the value of jobs that are sometimes looked down on. While there is much […]

10

BAYFLEX: green electronics for health

The European BAYFLEX project aims to develop flexible, intelligent sensors capable of continuously collecting and processing biological signals before their on-chip classification. This ambitious project adds value by using “green” organic technologies, which require less energy to manufacture and use.