A5008942107- Pregnancy and preeclampsia studies
- Epilepsy research and treatment
- Birth, Development, and Health
- Neonatal and fetal brain pathology
- Pharmacological Effects and Toxicity Studies
- Extracellular vesicles in disease
- Cancer-related molecular mechanisms research
- Neonatal Respiratory Health Research
- MicroRNA in disease regulation
- RNA modifications and cancer
- Artificial Intelligence in Healthcare and Education
- Dementia and Cognitive Impairment Research
- Gestational Diabetes Research and Management
- EEG and Brain-Computer Interfaces
- Preterm Birth and Chorioamnionitis
- Infectious Encephalopathies and Encephalitis
- Proteoglycans and glycosaminoglycans research
- Prenatal Screening and Diagnostics
- Fibroblast Growth Factor Research
- ECG Monitoring and Analysis
- RNA Research and Splicing
- Machine Learning in Healthcare
- Genomics and Rare Diseases
- Biochemical and Structural Characterization
- Pregnancy and Medication Impact
John Radcliffe Hospital
2018-2025
University of Oxford
2018-2025
The Alan Turing Institute
2023-2025
Royal Women's Hospital
2017-2025
Nuffield Health
2024-2025
Oxford Research Group
2024
Pacific University Oregon
2022
The Royal Melbourne Hospital
2018
The University of Melbourne
2017-2018
University of Würzburg
2014-2017
The relationship between placental pathology and the maternal syndrome of preeclampsia is incompletely characterized. Mismatch nutrient supply fetal demands induces stress in syncytiotrophoblast, layer placenta direct contact with blood. Such alters content increases release syncytiotrophoblast extracellular vesicles (STB-EVs) into circulation. We have previously shown 5'-tRNA fragments (5'-tRFs) constitute majority small RNA STB-EVs healthy pregnancy. 5'-tRFs are produced response to...
Fetal growth restriction secondary to chronic placental insufficiency is a major cause of perinatal morbidity and mortality. A significant proportion fetuses with fetal are small for gestational age, defined as birthweight ≤10th percentile. However, not all small-for-gestational-age restricted. Some constitutionally otherwise healthy. It important distinguish between without ensure appropriate interventions in minimize unnecessary healthy fetuses. The maternal serum ratio soluble fms-like...
BackgroundIdentification of convulsive epilepsy in sub-Saharan Africa relies on access to resources that are often unavailable. Infrastructure and resource requirements can further complicate case verification. Using machine-learning techniques, we have developed tested a region-specific questionnaire panel predictive model identify people who had seizure. These findings been implemented into free app for health-care workers Kenya, Uganda, Ghana, Tanzania, South Africa.MethodsIn this...
ABSTRACT Objectives To assess the effectiveness of Dawes–Redman algorithm in identifying fetal wellbeing at term by analyzing 30 years retrospective clinical data, comparing normal and adverse pregnancy outcomes, evaluating key metrics testing its performance when used 0–48 h before delivery. Methods Antepartum heart rate (FHR) traces from singleton pregnancies 37 + 0 to 41 6 weeks' gestation obtained between 1991 2024 were extracted Oxford University Hospitals database. Traces with > 30%...
Abstract Context The sFlt-1/PlGF ratio blood test can aid the prediction of preeclampsia (PE) in advance a clinical diagnosis. Gestational diabetes mellitus (GDM) predisposes to PE, but may influence levels these biomarkers independently PE. Objective To determine whether retains its utility predict PE patients with GDM. Design Retrospective analysis and associated outcome data acquired between September 2016 2022. Setting Royal Women’s Hospital, Melbourne, Australia. Patients 1,416 results...
Objectives Approximately 80% of people with epilepsy live in low- and middle-income countries (LMICs), where limited resources stigma hinder accurate diagnosis treatment. Clinical machine learning models have demonstrated substantial promise supporting the diagnostic process LMICs by aiding preliminary screening detection possible cases without relying on specialised or trained personnel. How well these generalise to naïve regions is, however, underexplored. Here, we use a novel approach...
Abstract Background Although Alzheimer’s disease affects around 800,000 people in the UK and costs almost £23 billion per year, currently licenced treatments only offer modest benefit at best. Seizures, which are more common patients with than age matched controls, may contribute to loss of nerve cells abnormal brain discharges can disrupt cognition. This aberrant electrical activity therefore present potentially important drug targets. The anti-seizure medication levetiracetam reduce...
Abstract Artificial Intelligence (AI) is transforming healthcare, with Large Language Models (LLMs) like ChatGPT offering novel capabilities. This study evaluates ChatGPT’s performance in interpreting and responding to the UK Royal College of Obstetricians Gynaecologists MRCOG Part One Two examinations – international benchmarks for assessing knowledge clinical reasoning Obstetrics Gynaecology. We analysed domain-specific accuracy, impact linguistic complexity, its self-assessment...
Presentation of therapeutic proteins on material surfaces is challenged by random immobilization chemistries through lysine or cysteine residues, typically leading to heterogeneous product outcome. Pharmaceutical quality standards warrant a controlled process ideally site specific conjugation. Therefore, we deployed genetic codon expansion engineer propargyl-l-lysine (Plk)-modified FGF-2 analogue, enabling site-specific copper(I)-catalyzed azide alkyne cycloaddition (CuAAC). Site-specific...
To characterize the experience of people with epilepsy and aligned healthcare workers (HCWs) during first 18 months COVID-19 pandemic compare experiences in high-income countries (HICs) non-HICs.
(1) Background: hypertension affects approximately half of the adults in United States (roughly 116 million). The cytochrome P450 (CYP)-mediated metabolism arachidonic acid (AA) kidney has been found to play a major role pathogenesis hypertension. This study examines anti-hypertensive effect natural polyphenolic compound catechin (CAT) and investigates if it impacts AA comparison captopril (CAP): commonly used antihypertensive drug. (2) Methods: spontaneously hypertensive rats (SHR) were...
Abstract Objectives This study aims to rigorously evaluate the Dawes-Redman computerised cardiotocography algorithm’s effectiveness in assessing antepartum fetal wellbeing. It focuses on analysing performance using extensive clinical data, examining accuracy, sensitivity, specificity, and predictive values various scenarios. The objectives include reliability identifying wellbeing across different risk prevalences, its efficacy context of temporal proximity delivery, ten specific adverse...
Abstract Introduction Fetal heart rate (FHR) monitoring is one of the commonest and most affordable tests performed during pregnancy worldwide. It critical for evaluating health status baby, providing real-time insights into physiology fetus. While relationship between patterns in these signals adverse outcomes well-established, human identification complex remains sub-optimal, with experts often failing to recognise babies at high-risk such as asphyxia, growth restriction stillbirth. These...
Abstract Objective To assess whether the antiseizure medication levetiracetam may improve cognition in individuals with Alzheimer's disease who have not previously experienced a seizure. Methods We performed randomized, double‐blind, placebo‐controlled crossover pilot study mild‐to‐moderate disease. Electroencephalography was at baseline and those active epileptiform discharges were excluded. Eligible participants randomized to placebo for 12 weeks or an arm of oral (4 up‐titration 500 mg...
Abstract The syncytiotrophoblast, a fused single-cell layer between mother and fetus, constitutively releases extracellular vesicles (STBEV) directly into the maternal circulation. STBEV contain variety of proteins RNA which can be targeted to specific cells. In preeclampsia, asymptomatic placental oxidative stress is precursor later multi-organ dysfunction in mother. Increased release preeclampsia considered manifestation syncytiotrophoblast stress, may play key role signaling fetus...
Abstract Objective To assess whether the antiseizure medication levetiracetam may improve cognition in individuals with Alzheimer’s disease who have not previously experienced a seizure. Methods We performed randomised, double-blind, placebo-controlled crossover study mild-to-moderate disease. Electroencephalography was at baseline and those active epileptiform discharges were excluded. Eligible participants randomised to placebo for 12 weeks or an arm of oral (4 up-titration 500 mg twice...
Fibroblast growth factor 2 (FGF-2), an important paracrine factor, binds electrostatically with low micromolar affinity to heparan sulfates present on extracellular matrix proteins. A single molecular analysis served as a basis decipher the nanomechanical mechanism of interaction between FGF-2 and sulfate surrogate, heparin, modular atomic force microscope (AFM) design combining magnetic actuators measurements at regime (1 × 101 1 104 pN/s). Unbinding events FGF-2–heparin complexes were...
Fibroblast growth factor-2 (FGF-2) is a potent modulator of cell and regulation, with improper FGF-2 signaling being involved in impaired responses to injury or even cancer. Therefore, the exploitation as therapeutic drives prerequisite for effective insight into drug disposition kinetics. In this article, we present an 111In-radiolabeled derivative noninvasive imaging small animals deploying single photon emission tomography (SPECT). 111In-FGF-2 equally well suitable vitro ex vivo...
To examine the effect of weekend admission on short and long-term morbidity mortality, for patients admitted to intensive care after suffering a cerebrovascular accident (stroke).A hospital-wide, retrospective cohort study 3,729 adult stroke Beth Israel Deaconess Medical Centre (BIDMC) unit (ICU) between 2001 2012, using Information Mart Intensive Care III (MIMIC-III) database.Primary outcome measures were ICU length-of-stay hospital proportions discharged home admission, 6-month...
Abstract Introduction Artificial Intelligence (AI) is redefining healthcare, with Large Language Models (LLMs) like ChatGPT offering novel and powerful capabilities in processing generating human-like information. These advancements offer potential improvements Women’s Health, particularly Obstetrics Gynaecology (O&G), where diagnostic treatment gaps have long existed. Despite its generalist nature, increasingly being tested necessitating a critical analysis of utility, limitations...
Abstract Objectives Approximately 80% of people with epilepsy live in low- and middle-income countries (LMICs), where limited resources stigma hinder accurate diagnosis treatment. Clinical machine learning models have demonstrated substantial promise supporting the diagnostic process LMICs without relying on specialised or trained personnel. How well these generalise to naïve regions is, however, underexplored. Here, we use a novel approach assess suitability applicability such clinical...