Digital Health
Digital Health
The Digital Health research team of the AIHS group at Durham University brings together experts in the fields of health informatics, medical imaging, machine learning and affective computing.
People
Dr Nelly Bencomo
Associate ProfessorProfessor Alexandra I. Cristea
Professor of Computer ScienceDr Sunčica Hadžidedić
Assistant ProfessorDr Stamos Katsigiannis
Assistant ProfessorProfessor Effie Lai-Chong Law
Professor in Human-Computer InteractionDr Robert Lieck
Assistant ProfessorProfessor Dorothy Monekosso
Professor of Computer ScienceDr Jingyun Wang
Assistant ProfessorResearch Activity
EPSRC IAA: weDecide: Clinical Tool for Shared Decision-Making for Treatment of Menopause Symptoms
Nelly Bencomo, Dorothy Monekoso, Huma Samin
10 per cent of women leave the workforce due to menopause, while one in four considers leaving. The weDecide project aims to evaluate a novel technique to support personalised and shared decision-making (PSDM) for menopause treatment that considers not just the criteria of a menopause expert but also that of the woman experiencing the peri-menopausal symptoms. The technique builds on the decision-making AI-based tool developed in the EPSRC project Twenty20Insight, which considers the priorities/preferences of humans. weDecide focuses on assessing the clinical relevance and acceptability of the decisions prompted by the weDecide Tool, and will inform an EPSRC bid.
KTP with Morelife
Sunčica Hadžidedić
Knowledge transfer partnership between University of Durham and Morelife (UK) Ltd is funded by Innovate UK. The grant was approved in 2022, and the project started in July 2023. The project aims at using state-of-the-art digital technologies for personalizing weight management interventions. It will run for three years and hire two research associates.
Project Team
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Project Lead: Dr Suncica Hadzidedic
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Knowledge Base Supervisor: Dr Jingyun Wang
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Research Associate: Mr Victor Adayemo
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Business Partner: Morelife (UK) Ltd