A5026657286- Electronic Health Records Systems
- Advanced MRI Techniques and Applications
- Glioma Diagnosis and Treatment
- Biomedical Text Mining and Ontologies
- Chronic Disease Management Strategies
- Mobile Health and mHealth Applications
- Semantic Web and Ontologies
- Clinical practice guidelines implementation
- Radiomics and Machine Learning in Medical Imaging
- Health Sciences Research and Education
- Metabolomics and Mass Spectrometry Studies
- MRI in cancer diagnosis
- Brain Tumor Detection and Classification
- Telemedicine and Telehealth Implementation
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Neuroimaging Techniques and Applications
- Healthcare Systems and Technology
- Scientific Computing and Data Management
- Data Quality and Management
- Digital Mental Health Interventions
- Machine Learning in Healthcare
- Augmented Reality Applications
- AI in cancer detection
- Context-Aware Activity Recognition Systems
- Medical Imaging Techniques and Applications
University of Birmingham
2013-2025
University of Warwick
2015-2024
Birmingham Children's Hospital
2012-2024
University Hospitals Coventry and Warwickshire NHS Trust
2020-2024
Weill Cornell Medical College in Qatar
2023
Weill Cornell Medicine
2023
Birmingham Women’s and Children’s NHS Foundation Trust
2019-2021
Karolinska Institutet
2015
Digital Health Cooperative Research Centre
2015
Politecnico di Milano
2015
Abstract Totally Automatic Robust Quantitation in NMR (TARQUIN), a new method for the fully automatic analysis of short echo time vivo 1 H Magnetic resonance spectroscopy is presented. Analysis performed domain using non‐negative least squares, and applying soft constraints to signal amplitudes used improve fitting stability. Initial point truncation Hankel singular value decomposition water removal are reduce baseline interference. Three methods were test performance. First, metabolite...
Direct infusion nanoelectrospray Fourier transform ion cyclotron resonance mass spectrometry (DI nESI FT-ICR MS) offers high accuracy and resolution for analyzing complex metabolite mixtures. High dynamic range across a wide range, however, can only be achieved at the expense of accuracy, since large numbers ions entering ICR detector induce adverse space-charge effects. Here we report an optimized strategy wide-scan DI MS that increases but maintains accuracy. It comprises collection...
Abstract 1 H MRS has great potential for the clinical investigation of childhood brain tumours, but low incidence in, and difficulties performing trials on, children have hampered progress in this area. Most studies used a long‐ TE , thus limiting metabolite information obtained, multivariate analysis been largely unexplored. Thirty‐five with untreated cerebellar tumours (18 medulloblastomas, 12 pilocytic astrocytomas five ependymomas) were investigated using single‐voxel short‐ PRESS...
The Learning Health System (LHS) describes linking routine healthcare systems directly with both research translation and knowledge as an extension of the evidence-based medicine paradigm, taking advantage ubiquitous use electronic health record (EHR) systems. TRANSFoRm is EU FP7 project that seeks to develop infrastructure for LHS in European primary care. Methods . based on three clinical cases, a genotype-phenotype study diabetes, randomised controlled trial gastroesophageal reflux...
Brain tumours are the most common cause of cancer death in children. Molecular studies have greatly improved our understanding these but tumour metabolism is underexplored. Metabolites measured vivo been reported as prognostic biomarkers analysis surgically resected tissue allows a more extensive set metabolites to be aiding biomarker discovery and providing validation findings. In this study, were quantified across range paediatric brain using 1H-High-Resolution Magic Angle Spinning nuclear...
The aim of this study was to assess the efficacy three‐dimensional texture analysis (3D TA) conventional MR images for classification childhood brain tumours in a quantitative manner. dataset comprised pre‐contrast T 1 ‐ and 2 ‐weighted MRI series obtained from 48 children diagnosed with (medulloblastoma, pilocytic astrocytoma ependymoma). 3D 2D TA were carried out on using first‐, second‐ higher order statistical methods. Six supervised algorithms trained most influential textural features,...
Abstract To determine if apparent diffusion coefficients (ADC) can discriminate between posterior fossa brain tumours on a multicentre basis. A total of 124 paediatric patients with (including 55 Medulloblastomas, 36 Pilocytic Astrocytomas and 26 Ependymomas) were scanned using weighted imaging across 12 different hospitals 18 scanners. Apparent coefficient maps produced histogram data was extracted from tumour regions interest. Total histograms metrics (mean, variance, skew, kurtosis 10th,...
Advances in general-purpose computers have enabled the generation of high-quality synthetic medical images that human eyes cannot differ between real and AI-generated images. To analyse efficacy generated images, this study proposed a modified VGG16-based algorithm to recognise Initially, 10,000 skin lesion were using Generative Adversarial Network (GAN), providing set for comparison Then, an enhanced has been developed classify vs Following hyperparameters tuning training, optimal approach...
Abstract The quantitation of metabolite concentrations from in vitro NMR spectra is hampered by the sensitivity peak positions to experimental conditions. methods currently available are generally labor intensive and cannot readily be automated. Here, an algorithm presented for automatic time domain analysis high‐resolution spectra. TARQUIN uses a set basis functions obtained quantum mechanical simulation using predetermined parameters. Each function optimized subdividing it into signals...
Summary Aim To evaluate the educational effectiveness of a clinically integrated e-learning course for teaching basic evidence-based medicine (EBM) among postgraduate medical trainees compared to traditional lecture-based equivalent content. Methods We conducted cluster randomized controlled trial compare EBM (intervention) (control) at foundation or internship level in seven hospitals UK West Midlands region. Knowledge gain participants was measured with validated instrument using multiple...
Direct-infusion electrospray-ionization Fourier transform ion cyclotron resonance mass spectrometry (DI ESI FT-ICR MS) is increasingly being utilized in metabolomics, including the high sensitivity selected monitoring (SIM)-stitching approach. Accurate signal quantification and discrimination of real signals from noise remain major challenges for this approach, with both adversely affected by factors suppression during electrospray, ion-ion interactions detector cell, thermally-induced white...
To evaluate the educational effects of a clinically integrated e-learning course for teaching basic evidence-based medicine (EBM) among postgraduates compared to traditional lecture-based equivalent content. We conducted cluster randomised controlled trial in Netherlands and UK involving postgraduate trainees six obstetrics gynaecology departments. Outcomes (knowledge gain change attitude towards EBM) were between (intervention) lecture based (control). measured from pre- post-intervention...