Digital avatars reduce distressing voices in psychosis Participants in brief and extended trials show significant improvements
At home brain stimulation for depression found to be safe New research suggest devices could become a first line at home treatment
Three new appointments to the King’s Maudsley Partnership World leading experts join King’s Maudsley Partnership for Children and…
Ancient viral DNA linked to multiple sclerosis and amyotrophic… Understanding genetic architecture of neurodegenerative diseases
The Future of Mental Health Starts with Prevention Join Professor Paolo Fusar-Poli’s lecture on 20 November 2024
Research Find out about IoPPN's world leading research and impact, and why we are ranked as one of the top…
Impact Our ground-breaking research makes a real difference in understanding, preventing and treating…
Centres & groups View all our research groups and centres here at the IoPPN and learn more about some of the unique…
Postgraduate taught Take the next step in your career by joining a community of thriving postgraduate scholars and learn…
Postgraduate research programmes World-class facilities, fantastic support networks and training opportunities are just some of the…
Online distance learning We offer a number of interactive, distance learning courses which are delivered 100% online
21 November 2024 King's receives £4.6 million NIHR funding to improve healthcare for chronic conditions in Latin America King’s researchers have been awarded £4.6 million from the National Institute for Health and Care…
20 November 2024 King's hosts experts to discuss how to ethically implement AI in healthcare The ‘A Roadmap for an Ethical AI in Healthcare’ conference at Science Gallery London on 14 November…
19 November 2024 IoPPN researchers among most cited in the world Clarivate's 2024 Highly Cited Researchers list features 29 IoPPN academics and researchers.
27 Nov Participatory modelling – how can service users support development of machine learning models? 27 November 2024 Participatory modelling – how can service users support development of machine learning models?