CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
This project aims to identify early warning signals for transitions in Major Depression by applying concepts from complex dynamical systems. By capturing individual data over time, it seeks to predict mood changes and improve understanding of mental disorders, potentially leading to personalized risk assessments.
Major Depression (MD) is often chronic and characterized by frequent recurrences of symptoms and burden.
The need to better understand how and when relevant transitions in symptoms occur is urgent. A seemingly unsolvable scientific problem is the enormous etiological complexity of mental disorders such as MD, involving continuously ongoing gene-environment interactions that act in highly person-specific ways.
This hampers accurate assessment of personalized risk. I will use an out-of-the-box and…
UNIVERSITAIR MEDISCH CENTRUM GRONINGEN
ACADEMISCH ZIEKENHUIS GRONINGEN
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
