London, UK
The website is part-funded by the National Institute for Health and Care Research (NIHR) Maudsley Biomedical Research Centre (BRC). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.
The Prediction Modelling Group, part of the Trials, Prediction and Genomics theme within the NIHR Maudsley Biomedical Research Centre (BRC), serves as a collaborative hub for researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, and clinicians at South London and Maudsley NHS Foundation Trust. We bring together those with a shared interest in applying prediction modelling to advance precision medicine.
Our work focuses on developing and refining prediction models tailored to the specific challenges of mental health research. Through these webpages, as well as our seminar series and presentations, we aim to inform both the research community and the public about ongoing developments in prediction modelling and its applications in precision medicine.
This page highlights selected research and provides access to code repositories to support transparency and collaboration in open science.
Visit our official page at the BRC website at https://www.maudsleybrc.nihr.ac.uk/facilities/prediction-modelling-group
The group aims to increase communication, information exchange, and collaboration between researchers working in clinical prediction modelling, and facilitate creation of the ethical, responsible and fair clinical prediction models.
Networking and Collaboration
Our group hosts regular Presentations and seminar groups, where the group members and invited speakers present and discuss recent developments in the area, develop guidelines for good practice, and collaborate in various projects. Our presentations can be viewed at NIHR Maudsley Biomedical Research Centre (BRC) - YouTube.
Open Science
Big datasets in healthcare have very complex structure and particular characteristics.
We are committed to the open science principles and develop open tools and pipelines based on modern machine learning and prediction modelling methods to facilitate their analysis.
Last updated: July 2025