A5081691232- GDF15 and Related Biomarkers
- Geriatric Care and Nursing Homes
- Gut microbiota and health
- Telomeres, Telomerase, and Senescence
- Advanced Data Processing Techniques
- Pancreatic and Hepatic Oncology Research
- Liver Disease Diagnosis and Treatment
- Urinary Tract Infections Management
- Dementia and Cognitive Impairment Research
- Pancreatitis Pathology and Treatment
- Mitochondrial Function and Pathology
- Human Pose and Action Recognition
- Web Data Mining and Analysis
- Video Analysis and Summarization
- Topic Modeling
- Intergenerational Family Dynamics and Caregiving
UK Dementia Research Institute
2025
Beijing Obstetrics and Gynecology Hospital
2022-2024
Capital Medical University
2022-2024
Imperial College London
2024
Abstract Urinary Tract Infections (UTIs) are one of the most prevalent bacterial infections in older adults and a significant contributor to unplanned hospital admissions People Living with Dementia (PLWD), early detection being crucial due predicament reporting symptoms limited help-seeking behaviour. The common diagnostic tool is urine sample analysis, which can be time-consuming only employed where UTI clinical suspicion exists. In this method development proof-of-concept study,...
Abstract Background People living with dementia often experience changes in independence and daily living, affecting their well-being quality of life. Behavioural correlate cognitive decline, functional impairment, caregiver distress, care availability. Methods We use data from a 3-year prospective observational study 141 people at home, using the Bristol Activities Daily Living Scale, Neuropsychiatric Inventory assessments, alongside self-reported healthcare-related data. Results Here we...
Acute pancreatitis (AP) is a serious health problem that dysregulates intestinal microbiota. Angiotensin (Ang)-(1-7) plays protective role in the barrier AP, but its effect on microbiota remains clear. To investigate impact of Ang-(1-7) AP-induced disorder and metabolites. We collected blood fecal samples from 31 AP patients within 48 h after admission to hospital, including 11 with mild (MAP), 14 moderately severe (MSAP), six (SAP). Mice were divided into four groups: control, + via tail...
Time-series representation learning is a key area of research for remote healthcare monitoring applications. In this work, we focus on dataset recordings in-home activity from people living with Dementia. We design method based converting to text strings that can be encoded using language model fine-tuned transform data the same participants within $30$-day window similar embeddings in vector space. This allows clustering and searching over days, identification deviations aid personalised...
In Explainable AI, rule extraction translates model knowledge into logical rules, such as IF-THEN statements, crucial for understanding patterns learned by black-box models. This could significantly aid in fields like disease diagnosis, progression estimation, or drug discovery. However, application domains often contain imbalanced data, with the class of interest underrepresented. Existing methods inevitably compromise performance rules minor to maximise overall performance. As first...