Parent d'enfant atteint de cancer avec un ordinateur

Cancer: technology lends a listening ear to parents of children with cancer

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How can technology and social media in particular help and support parents of children with cancer? This is the subject of a project led by Institut Mines-Télécom Business School and funded by the French National Cancer Institute. Anne-Laure Delaunay, a researcher in digital transformation and emerging technologies for management, initiated the project and gives us an inside look.
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CEREBRO: towards complete non-invasive imaging of brain activity

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The aim of the European CEREBRO project is to create the first electrical contrast medium to provide complete non-invasive images of the brain. Current methods for imaging brain activity using electroencephalography are limited in terms of spatial resolution, and do not cover the whole brain. The product to be developed by CEREBRO is designed to overcome these limitations. IMT Atlantique researchers Adrien Merlini and François Rousseau reveal the details of this project.

StressID, a multimodal database for detecting stress

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StressID is a multimodal database for identifying stress. The project represents one of the largest collections of audio, video and physiological expressions of stress collected from numerous participants. It aims to provide an experimental protocol that is simple to reproduce. Maria Zuluaga, a researcher in the Data Science department at EURECOM, and her PhD student Hava Chaptoukaev tell us all about StressID.

Mental disorders: when data helps save lives

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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.

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

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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.
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A biocluster to boost innovation in cancer treatment

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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.

Stéphane Avril, the mechanics of human tissue

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Stéphane Avril is a mechanical engineer, but his research focuses on the elasticity and resistance of arteries, and how this changes with disease or old age. This researcher from Mines Saint-Étienne is passionate about biology and has received a prestigious European Research Council (ERC) grant for the third time. This funding will support his next ambitious project: reversing the effects of aging on arteries by controlling mechanical wear. It represents a new phase in a journey at the interface between two disciplines.

BAYFLEX: green electronics for health

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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.

Motion capture for health and sport

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Generally known for its use in films, motion capture is also a research tool. At IMT Mines Alès, health and sports studies are being carried out using this technique to accurately visualize and diagnose body movements and health problems.

Smart masks to analyze humidity and respiration

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Surgical masks were widely used during the Covid-19 pandemic. To assess their effectiveness in real time, scientists at Mines Saint-Étienne have developed a smart mask, a device that collects data on the humidity of the mask and the wearer’s…