10/10/2023
Niels Peek PhD FACMI FHIASI is Professor of Health Informatics at the University of Manchester. He has a background in Computer Science and Artificial Intelligence, and his research focuses on translational data science for clinical risk prediction, precision health, and multimorbidity. He leads the Christabel Pankhurst Institute for Health Technology Research and Innovation, a partnership of academic, healthcare, industry and public sector organisations that aims to accelerate the translation of new technologies into healthcare practice. He also co-leads the International Centre for Translational Digital Health, a collaboration between Manchester, Toronto and Melbourne. He is a fellow of the Alan Turing Institute, the American College of Medical Informatics, and the International Academy of Health Sciences Informatics.
SYNOPSIS | Prediction models are used to identify individuals who are at risk of poor outcomes and would benefit from preventative treatment. They are widely used in cardiovascular disease prevention, cancer, mental health, and other domains. However despite the availability of new methods (machine learning) and ever-expanding datasets, most models that are routinely used in the NHS are many years old, and few of them of have been evaluated for their effects on health outcomes. We will present a new framework for development, validation, and deployment of prediction models based on the concept of learning health systems, and describe how new methods and technologies can contribute to better personalised prevention for all.
Find out more about the conference at https://fci.org.uk/events/fci-annual-scientific-conference-2023.html . Register now at https://www.convenzis.co.uk/events/fci-annual-scientific-conference-2023
