Developing a mental health ontology, to enable users to efficiently locate and interpret relevant mental health information

It’s difficult for researchers, funders, people with lived experience, and others with an interest in mental health science to keep track of the ever-expanding literature. How can this information, which is published every day, all over the world, be gathered, analysed, and used effectively to design new research that makes a difference?The Wellcome Trust-funded global GALENOS project aims to tackle these challenges by creating a continuously updated, comprehensive and trustworthy catalogue and synthesis of the best scientific evidence to allow the mental health community to better identify the research questions that most urgently need to be answered.By creating datasets and insights that are easy to navigate in a state-of-the-art online resource, this project will accelerate discovery science into effective new interventions, and solutions for the 1 in 4 of us impacted by mental illness.The Human-Centered Health AI research group supports the GALENOS project by developing the ontology that scaffolds and integrates the extracted and synthesised evidence in a reproducible way, and by developing novel trustworthy AI approaches to automate tracking and synthesising published evidence.
Idiap Research Institute
Wellcome Trust Foundation
Jan 01, 2026
Dec 31, 2026