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4 search results for: e-santé

1

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.

2

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.

4

Fine particulate pollution: can we trust microsensor readings?

Nathalie Redon, IMT Lille Douai – Institut Mines-Télécom Last May, Paris City Hall launched “Pollutrack”: a fleet of micro sensors placed on the roofs of vehicles traveling throughout the capital to measure the amount of fine particles present in the air in real-time. A year before, Rennes proposed that residents participate in assessing the air quality via individual […]