News / Events

Quarterly Bulletin

October 2024

Work Package 3 of the COMMUTE project bundles all activities of partners with expertise in Data Science and Artificial Intelligence. The focus lies on applying existing Data Science and AI methods to find patterns and signals that represent causal and mechanistically interpretable causal relationships. The resulting AI models will allow for the assessment of the personal risk of developing neurodegenerative diseases after a SARS-CoV-2 infection. This bulletin introduces both the COMMUTE data catalog, a comprehensive and searchable index of the multimodal data used in WP3 with harmonized, rich metadata, and the teams along with their expertise that contribute to WP3.

Read the second bulletin (October 2024) here as PDF

Quarterly Bulletin

July 2024

The COMMUTE project investigates the link between COVID-19 and neurodegenerative diseases and includes five work packages. WP1 handles project management, communication, and dissemination of results. WP2 creates and integrates knowledge graphs and manages data. WP3 uses artificial intelligence and machine learning to model the risks of neurodegenerative diseases. WP4 focuses on clinical research and in vitro models to study the mechanisms. Brain organoids and blood-brain barrier models are used. WP5 addresses ethical and legal aspects. The project aims to develop personalized risk assessments and new therapeutic approaches.

Read the first bulletin (July 2024) here as PDF

Bonn Science Night 2024:
COMMUTE Project engages public in vibrant discussions

May 17, 2024

The Bonn Science Night, held biennially since 2000, showcases exciting hands-on science in the city's heart. Scheduled for May 16-17, 2024, this 14th edition, themed "Freigeist," aligns with events celebrating "75 years of the national constitution – Democracy made in Bonn."

Fraunhofer SCAI showcased the COMMUTE project, among others. Visitors showed great interest in the research project, leading to engaging discussions between citizens and researchers.

© Fraunhofer SCAI
© Martin Magunia, Stadt Bonn
© Martin Magunia, Stadt Bonn