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. 

Simon_Fraser_2023

Prof Simon Fraser

Professor of Public Health, School of Primary Care, Population Science & Medical Education, Faculty of Medicine, University of Southampton
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Gyuchan_Thomas_Jun_(Prof)_Photo_v2

Prof Gyuchan Thomas Jun

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

Prof Krish Nirantharakumar

Professor of Health Data Science & Public Health, University of Birmingham
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Prof_Michael_Barnes

Prof Michael Barnes

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

Co-Chair: Monica Fletcher OBE

Honorary Research Fellow, The Usher Institute, University of Edinburgh
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Mario_Moroso

Co-Chair: Dr Mario Moroso

Assistant Director Research Programmes, NIHR Coordinating Centre
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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

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