A5075279338- Advanced Graph Neural Networks
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Complex Network Analysis Techniques
- Bioinformatics and Genomic Networks
- Sepsis Diagnosis and Treatment
- Intensive Care Unit Cognitive Disorders
- Computational Drug Discovery Methods
- Recommender Systems and Techniques
- Airway Management and Intubation Techniques
- Neural dynamics and brain function
- Advanced Bandit Algorithms Research
- Cloud Computing and Resource Management
- Topic Modeling
- Organ Donation and Transplantation
- Machine Learning in Materials Science
- SARS-CoV-2 detection and testing
- Intracranial Aneurysms: Treatment and Complications
- Respiratory Support and Mechanisms
- Frailty in Older Adults
- EEG and Brain-Computer Interfaces
- Traumatic Brain Injury and Neurovascular Disturbances
- Advanced Malware Detection Techniques
- Animal Virus Infections Studies
- Nosocomial Infections in ICU
James Cook University Hospital
2013-2023
South Tees Hospitals NHS Foundation Trust
2015-2022
Imperial College London
2022
Quadram Institute
2022
AstraZeneca (United Kingdom)
2022
AstraZeneca (Australia)
2022
Durham University
2013-2021
Weatherford College
2021
Flint Institute Of Arts
2021
Newcastle University
2019-2021
Many current applications use recommendations in order to modify the natural user behavior, such as increase number of sales or time spent on a website. This results gap between final recommendation objective and classical setup where candidates are evaluated by their coherence with past predicting either missing entries user-item matrix, most likely next event. To bridge this gap, we optimize policy for task increasing desired outcome versus organic behavior. We show is equivalent learning...
Deep learning is rapidly becoming a go-to tool for many artificial intelligence problems due to its ability outperform other approaches and even humans at problems. Despite popularity we are still unable accurately predict the time it will take train deep network solve given problem. This training can be seen as product of per epoch number epochs which need performed reach desired level accuracy. Some work has been carried out an - most have based around assumption that linearly related...
Background Early physical rehabilitation in the intensive care unit (ICU) has been shown to improve short-term clinical outcomes but long-term benefit not proven and optimum intensity of is known. Methods We conducted a randomised, parallel-group, allocation-concealed, assessor-blinded, controlled trial patients who had received at least 48 hours invasive or non-invasive ventilation. Participants were randomised 1:1 ratio, stratified by admitting ICU, admission type level independence. The...
Abstract Background The nature of multiple organ dysfunction syndrome (MODS) after traumatic injury is evolving as resuscitation practices advance and more patients survive their injuries to reach critical care. aim this study was characterize contemporary MODS subtypes in trauma care at a population level. Methods Adult admitted major centre units were enrolled 4-week point-prevalence study. defined by daily total Sequential Organ Failure Assessment (SOFA) score than 5. Hierarchical...
BackgroundVentilator-associated pneumonia is the most common intensive care unit (ICU)-acquired infection, yet accurate diagnosis remains difficult, leading to overuse of antibiotics. Low concentrations IL-1β and IL-8 in bronchoalveolar lavage fluid have been validated as effective markers for exclusion ventilator-associated pneumonia. The VAPrapid2 trial aimed determine whether measurement could effectively safely improve antibiotic stewardship patients with clinically suspected...
We identify amino acid variants within dominant SARS-CoV-2 T cell epitopes by interrogating global sequence data. Several nucleocapsid and ORF3a have arisen independently in multiple lineages result loss of recognition epitope-specific cells assessed IFN-γ cytotoxic killing assays. Complete responsiveness was seen due to Q213K the A∗01:01-restricted CD8+ epitope FTSDYYQLY207-215; P13L, P13S, P13T B∗27:05-restricted QRNAPRITF9-17; T362I P365S A∗03:01/A∗11:01-restricted KTFPPTEPK361-369. lines...
The Delta (B.1.617.2) variant was the predominant UK circulating SARS-CoV-2 strain between May and December 2021. How infection compares with previous variants is unknown. This prospective observational cohort study assessed symptomatic adults participating in app-based COVID Symptom Study who tested positive for from 26 to July 1, 2021 (Delta overwhelmingly variant), compared (1:1, age- sex-matched) individuals presenting 28, 2020 6, (Alpha (B.1.1.7) variant). We illness (symptoms,...
Knowledge Graphs (KG) and associated Graph Embedding (KGE) models have recently begun to be explored in the context of drug discovery potential assist key challenges such as target identification. In domain, KGs can employed part a process which result lab-based experiments being performed, or impact on other decisions, incurring significant time financial costs most importantly, ultimately influencing patient healthcare. For KGE this better understanding not only performance, but also...
Evidence is limited for the effectiveness of interventions survivors critical illness after hospital discharge. We explored effect an 8-week hospital-based exercise-training programme on physical fitness and quality-of-life.In a parallel-group minimized controlled trial, patients were recruited before discharge or in intensive care follow-up clinic enrolled 8-16 weeks Each week, intervention comprised two sessions physiotherapist-led cycle ergometer exercise (30 min, moderate intensity) plus...
We introduce style augmentation, a new form of data augmentation based on random transfer, for improving the robustness convolutional neural networks (CNN) over both classification and regression tasks. During training, our randomizes texture, contrast color, while preserving shape semantic content. This is accomplished by adapting an arbitrary transfer network to perform randomization, sampling input embeddings from multivariate normal distribution instead inferring them image. In addition...
In this paper, we propose a novel Convolutional Neural Network (CNN) approach for the classification of raw dry-EEG signals without any data pre-processing. To illustrate effectiveness our approach, utilise Steady State Visual Evoked Potential (SSVEP) paradigm as use case. SSVEP can be utilised to allow people with severe physical disabilities such Complete Locked-In Syndrome or Amyotrophic Lateral Sclerosis aided via BCI applications, it requires only subject fixate upon sensory stimuli...
Despite significant recent progress in the area of Brain-Computer Interface (BCI), there are numerous shortcomings associated with collecting Electroencephalography (EEG) signals real-world environments. These include, but not limited to, subject and session data variance, long arduous calibration processes predictive generalisation issues across different subjects or sessions. This implies that many downstream applications, including Steady State Visual Evoked Potential (SSVEP) based...
Only a minority of intracranial aneurysms rupture to cause subarachnoid hemorrhage.To test the hypothesis that unruptured have different characteristics and risk factor profiles compared ruptured aneurysms.We recruited patients with or aneurysmal hemorrhages at 22 UK hospitals between 2011 2014. Demographic, clinical, imaging data were collected using standardized case report forms. We factors multivariable logistic regression.A total 2334 (1729 hemorrhage, 605 aneurysms) included (mean age...
Graph embeddings have become a key and widely used technique within the field of graph mining, proving to be successful across broad range domains including social, citation, transportation biological. Unsupervised embedding techniques aim automatically create low-dimensional representation given graph, which captures structural elements in resulting space. However, date, there has been little work exploring exactly topological structures are being learned embeddings, could possible way...
Objective: To investigate if the incidence of disorders spermatogenesis and testicular tissue morphology have changed in middle aged Finnish men over 10 years.Design: Two necropsy series completed 1981 1991.
Brain stem death may be a difficult concept for relatives to understand. Our ITU practice follows published recommendations that the use of explanatory leaflets showing CT scans and observing brain testing in some cases help understand has occurred. Using this strategy, we interviewed 27 12 months after bereavement following certification by testing, investigating their understanding death, subsequent attitudes organ donation, grief reactions those who had observed tests. Most understood...
Patients who survive critical illness often report deterioration in health related quality of life. This has not been shown to improve following post-intensive care unit (ICU) self-directed exercise. The Post Intensive Care eXercise (PIX) study demonstrated improved objectively measured fitness a supervised exercise programme and also suggested beneficial effects on physical mental health. qualitative arm the PIX reported here utilised focus groups explore more detail recovery from illness,...
Recommender Systems are becoming ubiquitous in many settings and take forms, from product recommendation e-commerce stores, to query suggestions search engines, friend social networks. Current research directions which largely based upon supervised learning historical data appear be showing diminishing returns with a lot of practitioners report discrepancy between improvements offline metrics for the online performance newly proposed models. One possible reason is that we using wrong...
Graphs have become a crucial way to represent large, complex and often temporal datasets across wide range of scientific disciplines. However, when graphs are used as input machine learning models, this rich information is frequently disregarded during the process, resulting in suboptimal performance on certain inference tasks. To combat this, we introduce Temporal Neighbourhood Aggregation (TNA), novel vertex representation model architecture designed capture both topological directly...