6 months after its official launch in Berlin in June 2022, the AIOLOS project will hold its 2nd General Assembly in Paris in January. The meeting will be hosted at Future4Care, the European e-health accelerator, allowing for fruitful synergies with the health…
AIOLOS design: a modular approach
AIOLOS is developing a data integration platform designed to detect respiratory pathogens epidemics, monitor their spread and inform decisions on appropriate counter measures through scenario modelling. The overall objective of the project is to provide…
AIOLOS MVP expected April 2023!
The AIOLOS MVP (Minimum Viable Product) will consist in a web-based platform offering epidemic signal detection models, forecasting models and scenario planning analysis based on a first bunch of data sources, including hospital data, ambulatory…
Contributing to the pandemic preparedness approach
The Covid-19 crisis has confirmed the need for a resilient multi-stakeholder surveillance and control system to manage current and future epidemics or pandemics. AIOLOS wishes to contribute to this global effort, but for sure the project cannot be run in…
Looking for sustainability
AIOLOS platform is expected to have a strong positive impact not only for public health but also across various sectors of the economy. Given the large impact of an epidemic on all aspects of society as reflected in the COVID-19 crisis, we believe there is a high…
First meeting of the AIOLOS Scientific Advisory Board
AIOLOS set up a Scientific Advisory Board to provide guidance on public health and scientific components of the project. The Scientific Advisory Board is constituted of prominent specialists in the various fields involved in the project, including…
Publication – Modelling approaches for early warning and monitoring of pandemic situations
How could computational approaches, including artificial intelligence, help increasing the preparedness of our healthcare system against pandemic situations? Check out our latest publication in Frontiers of Public Health, 14 November 2022: Modelling…