With 14 million in England living with MLTC, driven by an ageing population, it’s a growing concern. Notably, 20% of 25-64-year-olds have multiple conditions, and those in deprived areas develop MLTC earlier. In this session, we will discuss how four UK Research Collaboratives are tackling the challenges faced by patients with multimorbidity using AI and data analytics. MLTC patients incur over half of NHS primary and secondary care costs. The current single-condition focus in clinical services burdens MLTC patients and their carers, complicating management for health services. The NIHR has awarded over £23 million of funding to support research using AI to understand MLTC trajectories, merging data science with health and social science expertise. 


Prof Simon Fraser

Professor of Public Health, School of Primary Care, Population Science & Medical Education, Faculty of Medicine, University of Southampton
Read more

Prof Gyuchan Thomas Jun

Professor of Socio-technical System Design, School of Design & Creative Arts, Loughborough University
Read more

Prof Krish Nirantharakumar

Professor of Health Data Science & Public Health, University of Birmingham
Read more

Prof Michael Barnes

Professor of Bioinformatics & Director of the Centre for Translational Bioinformatics, Queen Mary University of London
Read more

Co-Chair: Monica Fletcher OBE

Honorary Research Fellow, The Usher Institute, University of Edinburgh
Read more

Co-Chair: Dr Mario Moroso

Assistant Director Research Programmes, NIHR Coordinating Centre
Read more
October 31 @ 13:30
13:30 — 14:15 (45′)

Dr Mario Moroso, Monica Fletcher OBE, Prof Gyuchan Thomas Jun, Prof Krish Nirantharakumar, Prof Michael Barnes, Prof Simon Fraser

Add to Calendar