The aim of this project is to arrive at a reliable objective diagnostic technique based on functional MRI scans of the patient, and ultimately to apply these in decision support systems for diagnosis, patient stratification and therapy selection. This can significantly reduce the burden of disease and costs, and can also create an important new market for MRI scanners.
With support from Eindhoven Engine, the project initiated student internships and graduation projects that contributed to valuable research outputs, which were then shared with the Eindhoven Engine community. During the project period, Neurotrend gained valuable insights into imaging and AI through project update meetings and discussions

Key benefits included:
- Creating opportunities to share and discuss Neurotrend’s study results.
- Providing a facility for work and meetings in a multidisciplinary environment.
- Hosting thematic sessions that offered useful information on specific topics, applicable to ongoing research.
This collaborative effort not only advanced research but also fostered a vibrant, knowledge-sharing community.