A5075443912- Chronic Disease Management Strategies
- Health disparities and outcomes
- demographic modeling and climate adaptation
- Protein Structure and Dynamics
- Machine Learning in Materials Science
- Iron oxide chemistry and applications
- Geochemistry and Geologic Mapping
- Nutrition and Health in Aging
- Frailty in Older Adults
- Medical Coding and Health Information
- Geriatric Care and Nursing Homes
- Hydrocarbon exploration and reservoir analysis
- Advanced Chemical Physics Studies
University of Southampton
2023-2025
University College Dublin
2021-2024
Purpose We have established the SAIL MELD-B electronic cohort (e-cohort SMC) and children Young adults e-cohort (SMYC) as a part of Multidisciplinary Ecosystem to study Lifecourse Determinants Prevention Early-onset Burdensome Multimorbidity (MELD-B) project. Each has been created investigate develop deeper understanding lived experience ‘burdensomeness’ multimorbidity by identifying new clusters burdensomeness concepts, exploring early life risk factors modelling hypothetical prevention...
Background Living with multiple long-term conditions (MLTCs) involves ‘work’. A recent qualitative synthesis identified eight patient-centred work themes: ‘learning and adapting’, ‘accumulation complexity’, ‘investigation monitoring’, ‘health service administration’ ‘symptom’, ‘emotional’, ‘medication’ ‘financial’ work. These themes may be underrepresented in electronic health records (EHRs). This study aimed to evaluate the representation of these their constituent concepts EHR data a...
Abstract Many studies use a reductionist approach to isolate the influence of one factor in childhood on multimorbidity rather than consider combined effect wider determinants. We explored how potential multiple early life determinants can be characterised across three UK cohort studies. used National Child Development Study (NCDS), 1970 British Cohort (BCS70), and Aberdeen Children 1950s (ACONF) identified variables that fit into 12 conceptualised domains multimorbidity. Variables were...
Most people living with multiple long-term condition multimorbidity (MLTC-M) are under 65 (defined as 'early onset'). Earlier and greater accrual of conditions (LTCs) may be influenced by the timing nature exposure to key risk factors, wider determinants or other LTCs at different life stages. We have established a research collaboration titled 'MELD-B' understand how determinants, sentinel (the first LTC in lifecourse) sequence affect early-onset, burdensome MLTC-M, inform prevention...
Abstract Many studies use a reductionist approach to isolate the influence of one factor in childhood on multimorbidity rather than consider combined effect wider determinants. We explored how potential multiple early-life determinants can be characterised across three UK cohort studies. used National Child Development Study (NCDS), 1970 British Cohort (BCS70), and Aberdeen Children 1950s (ACONF) identified variables that fit into 12 domains multimorbidity. Variables were assigned domains;...
Machine-learned potentials (MLPs) have gained attention to "fill the gap" between empirical and quantum–mechanical methods. Their speed can be comparable force fields, whilst preserving ab initio accuracy. prediction of systems' expected physical/chemical characteristics presents many-body energy as a key challenge: although cannot compute this owing their pairwise-additive nature, methods do so, albeit not for large systems. Here, we examine if finely-trained MLP predict argon clusters...
Abstract Purpose We have established the SAIL MELD-B electronic cohort (e-cohort SMC) and children Young adults e-cohort (SMYC) as a part of Multidisciplinary Ecosystem to study Lifecourse Determinants Prevention Early-onset Burdensome Multimorbidity (MELD-B) project. Each has been created investigate develop deeper understanding lived experience ‘burdensomeness’ multimorbidity by identifying new clusters burdensomeness indicators, exploring early life risk factors modelling hypothetical...
ObjectivesMany studies use a reductionist approach to isolate the influence of one factor in childhood on multimorbidity rather than consider combined effect wider determinants. We aimed explore how potential multiple early-life determinants can be audited and characterised across three UK cohort studies. ApproachWe used 1958 National Child Development Study (NCDS), 1970 British Cohort (BCS70), Aberdeen Children 1950s (ACONF) identify categorise variables that fit into 12 previously...
A novel approach for constructing a machine-learned potential energy surface (MLP) from unlabeled training data is presented. Utilizing neural networks augmented with pool-based active learning sampling method, (PES) developed the accurate modeling of interfaces hematite iron oxide and water, fitting much more expensive density functional theory (DFT). Molecular dynamics simulations were performed using this DFT-based PES to characterize structural energetic properties system. By utilizing...