If you are not happy with the results below please do another search
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.
As medicine and genetics make increasing use of data science and AI, the question of how to protect this sensitive information is becoming increasingly important to all those involved in health. A team from the LaTIM laboratory is working on these issues, with solutions such as encryption and watermarking. It has just been accredited by Inserm.
The world of healthcare has extensive databases that are just waiting to be used. This is one of the issues Benjamin Dalmas, a data science researcher at Mines Saint-Étienne, is exploring in his work. His main objective is to understand the origin of this data to use it more effectively. As such, he is working […]
In the near future, watermarking data could be the best traceability technique in the healthcare domain. It involves hidding information into medical images with the aim at reinforcing data security for patients and healthcare professionals. After being developed for nearly ten years in the laboratories of IMT Atlantique and Medecom, watermarking has now reached a […]
Thanks to AI tools, it is now possible to identify signs of disease in medical images in a robust and secure way. However, developing such tools requires access to large volumes of sensitive health data. How can we protect this data, and the tools that use it? These are the questions that Cybaile, the industrial chair in cybersecurity, AI and trust in healthcare, is trying to answer.
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.
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.
Annie Blandin-Obernesser, IMT Atlantique – Institut Mines-Télécom Facebook has an Oversight Board, a kind of “Supreme Court” that rules on content moderation disputes. Digital giants like Google are investing in the submarine telecommunications cable market. France has had to back pedal after choosing Microsoft to host the Health Data Hub. These are just a few […]
The original version of this article (in French) was published in the quarterly newsletter no. 20 (March 2021) of the Values and Policies of Personal Information (VP-IP) Chair. On 25 November 2020, the European Commission published its proposal for the European data governance regulation, the Data Governance Act (DGA) which aims to “unlock the economic and societal potential of data and […]
The European project MAESTRIA, launched in March 2021 and set to run 5 years, will take on the major challenges of data integration and personalized medicine with the aim of preventing heart rhythm problems and stroke. How? By using artificial intelligence approaches to create multi-parametric digital tools. Led by Sorbonne University and funded by the […]
