.png)
The Campfire titled "Using Real-World Big Data to Understand Mental Illness" was moderated by Professor Barbara Franke and focused on the strides being made in psychiatric genetics.
Over the past decade, the field of psychiatric genetics has made significant discoveries, identifying susceptibility genes for various mental disorders. Despite these advancements, the translation of these findings into clinical settings remains limited.
The REALMENT project seeks to bridge this gap by utilising real-world big data sourced from eHealth platforms, biobanks, and national registries.
The project has amassed data from 1.5 million individuals to create predictive tools that can help clinicians tailor treatments for patients with mental disorders. These tools leverage novel machine learning algorithms and predictive models to forecast medication responses and potential adverse effects, thereby enhancing the accuracy of treatment plans and improving patient outcomes.
The session also highlighted the ongoing efforts to identify optimal real-world applications and clinical settings for these tools, ensuring they deliver maximum benefits. Adjustments to the Psychiatrist’s Cockpit, an interface designed for clinical use, were discussed, with various use cases and scenarios presented to the audience for feedback.
The REALMENT project continues to push the boundaries of what's possible in diagnosing and treating mental disorders, promising a future where precision medicine becomes a staple in psychiatric practice.
If you are interested in discovering more about our research or wish to back our efforts, we encourage you to get in touch and join us on our social media platforms, including LinkedIn and X.
You can also join our network by subscribing to our newsletter.