Carole H. Sudre
A5044422433- Dementia and Cognitive Impairment Research
- Long-Term Effects of COVID-19
- Advanced Neuroimaging Techniques and Applications
- Alzheimer's disease research and treatments
- COVID-19 and Mental Health
- COVID-19 Clinical Research Studies
- Radiomics and Machine Learning in Medical Imaging
- Medical Image Segmentation Techniques
- Functional Brain Connectivity Studies
- Neurological Disease Mechanisms and Treatments
- SARS-CoV-2 and COVID-19 Research
- Cerebrovascular and Carotid Artery Diseases
- Health, Environment, Cognitive Aging
- COVID-19 diagnosis using AI
- Domain Adaptation and Few-Shot Learning
- Cardiovascular Health and Disease Prevention
- Advanced MRI Techniques and Applications
- Machine Learning in Healthcare
- COVID-19 epidemiological studies
- Artificial Intelligence in Healthcare and Education
- Multiple Sclerosis Research Studies
- Nutritional Studies and Diet
- Acute Ischemic Stroke Management
- MRI in cancer diagnosis
- Intracerebral and Subarachnoid Hemorrhage Research
MRC Unit for Lifelong Health and Ageing
2019-2025
University College London
2016-2025
King's College London
2018-2025
The London College
2025
UK Dementia Research Institute
2016-2024
National Hospital for Neurology and Neurosurgery
2017-2024
University of Lausanne
2024
University of Edinburgh
2019-2024
University of Oslo
2023-2024
Amsterdam Neuroscience
2018-2024
Data for front-line health-care workers and risk of COVID-19 are limited. We sought to assess among compared with the general community effect personal protective equipment (PPE) on risk.
A total of 2,618,862 participants reported their potential symptoms COVID-19 on a smartphone-based app. Among the 18,401 who had undergone SARS-CoV-2 test, proportion loss smell and taste was higher in those with positive test result (4,668 7,178 individuals; 65.03%) than negative (2,436 11,223 participants; 21.71%) (odds ratio = 6.74; 95% confidence interval 6.31-7.21). model combining to predict probable infection applied data from all app users (805,753) predicted that 140,312 (17.42%)...
The SARS-CoV-2 variant of concern, omicron, appears to be less severe than delta. We aim quantify the differences in symptom prevalence, risk hospital admission, and duration among vaccinated population.
Medical image analysis and computer-assisted intervention problems are increasingly being addressed with deep-learning-based solutions. Established deep-learning platforms flexible but do not provide specific functionality for medical adapting them this domain of application requires substantial implementation effort. Consequently, there has been duplication effort incompatible infrastructure developed across many research groups. This work presents the open-source NiftyNet platform deep...
COVID-19 vaccines show excellent efficacy in clinical trials and effectiveness real-world data, but some people still become infected with SARS-CoV-2 after vaccination. This study aimed to identify risk factors for post-vaccination infection describe the characteristics of illness.
The rapid pace of the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome 2 (SARS-CoV-2) presents challenges to robust collection population-scale data address this global health crisis. We established COronavirus Pandemic Epidemiology (COPE) Consortium unite scientists with expertise in big research and epidemiology develop COVID Symptom Study, previously known as Tracker, mobile application. This application-which offers on risk factors, predictive...
Background Data for frontline healthcare workers (HCWs) and risk of SARS-CoV-2 infection are limited whether personal protective equipment (PPE) mitigates this is unknown. We evaluated COVID-19 among HCWs compared to the general community influence PPE. Methods performed a prospective cohort study community, including HCWs, who reported information through COVID Symptom Study smartphone application beginning on March 24 (United Kingdom, U.K.) 29 States, U.S.) April 23, 2020. used Cox...
Quantification of cerebral white matter hyperintensities (WMH) presumed vascular origin is key importance in many neurological research studies. Currently, measurements are often still obtained from manual segmentations on brain MR images, which a laborious procedure. Automatic WMH segmentation methods exist, but standardized comparison the performance such lacking. We organized scientific challenge, developers could evaluate their method multi-center/-scanner image dataset, giving an...
Reports of “Long-COVID”, are rising but little is known about prevalence, risk factors, or whether it possible to predict a protracted course early in the disease. We analysed data from 4182 incident cases COVID-19 who logged their symptoms prospectively COVID Symptom Study app. 558 (13.3%) had lasting >=28 days, 189 (4.5%) for >=8 weeks and 95 (2.3%) >=12 weeks. Long-COVID was characterised by fatigue, headache, dyspnoea anosmia more likely with increasing age, BMI female sex....
BackgroundMidlife hypertension confers increased risk for cognitive impairment in late life. The sensitive period exposure and extent that is mediated through amyloid or vascular-related mechanisms are poorly understood. We aimed to identify if, when, blood pressure change during adulthood were associated with late-life brain structure, pathology, cognition.MethodsParticipants from Insight 46, a neuroscience substudy of the ongoing longitudinal Medical Research Council National Survey Health...
Poor metabolic health and unhealthy lifestyle factors have been associated with risk severity of COVID-19, but data for diet are lacking. We aimed to investigate the association quality COVID-19 its interaction socioeconomic deprivation.
Worldwide, racial and ethnic minorities have been disproportionately impacted by COVID-19 with increased risk of infection, its related complications, death. In the initial phase population-based vaccination in United States (U.S.) Kingdom (U.K.), vaccine hesitancy may result differences uptake. We performed a cohort study among U.S. U.K. participants who volunteered to take part smartphone-based COVID Symptom Study (March 2020-February 2021) used logistic regression estimate odds ratios (n...
As no one symptom can predict disease severity or the need for dedicated medical support in coronavirus 2019 (COVID-19), we asked whether documenting time series over first few days informs outcome. Unsupervised clustering presentation was performed on data collected from a training dataset of completed cases enlisted early COVID Symptom Study Smartphone application, yielding six distinct presentations. Clustering validated an independent replication between 1 and 28 May 2020. Using 5...
Dietary supplements may ameliorate SARS-CoV-2 infection, although scientific evidence to support such a role is lacking. We investigated whether users of the COVID-19 Symptom Study app who regularly took dietary were less likely test positive for infection.
Background Racial and ethnic minorities have been disproportionately impacted by COVID-19. In the initial phase of population-based vaccination in United States (U.S.) Kingdom (U.K.), vaccine hesitancy limited access may result disparities uptake. Methods We performed a cohort study among U.S. U.K. participants smartphone-based COVID Symptom Study (March 24, 2020-February 16, 2021). used logistic regression to estimate odds ratios (ORs) COVID-19 (unsure/not willing) receipt. Results ( n...
Cognitive impairment has been reported after many types of infection, including SARS-CoV-2. Whether deficits following SARS-CoV-2 improve over time is unclear. Studies to date have focused on hospitalised individuals with up a year follow-up. The presence, magnitude, persistence and correlations effects in community-based cases remain relatively unexplored.
Self-reported symptom studies rapidly increased understanding of SARS-CoV-2 during the COVID-19 pandemic and enabled monitoring long-term effects outside hospital settings. Post-COVID-19 condition presents as heterogeneous profiles, which need characterisation to enable personalised patient care. We aimed describe post-COVID-19 profiles by viral variant vaccination status.