On 11, respectively 20 May, collaborators from the four-year LETHE project (A personalized prediction and intervention model for early detection and reduction of risk factors causing dementia, based on AI and distributed Machine Learning) published two articles.
The first is entitled “Federated Learning with Dynamic Model Exchange”, explaining how Federated Learning will be used in the project. The second is goes under the title “AI-Based Predictive Modelling of the Onset and Progression of Dementia” and was published in the “Smart Cities” open access journal. Understanding the complex and multifactorial causes of dementia is still an unmet goal in dementia research.
The collection of behaviour and medical data is therefore a key part of the LETHE project and requirement for personalised and smart interventions. The LETHE project aims to leverage large multidimensional data about individual behaviours, lifestyle, health, and digital biomarkers on a previously unprecedented scale. The second article provides an introduction to the project and the challenges it aims to address. You can access the open access publications via these links:
https://doi.org/10.3390/electronics11101530
https://doi.org/10.3390/smartcities5020036
The LETHE project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 101017405.
