A5049775493- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Esophageal Cancer Research and Treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- Hippo pathway signaling and YAP/TAZ
- Ultrasound in Clinical Applications
- Colorectal Cancer Surgical Treatments
- Radiation Dose and Imaging
- COVID-19 and healthcare impacts
- Pleural and Pulmonary Diseases
- Advanced Fluorescence Microscopy Techniques
- MRI in cancer diagnosis
- Gastric Cancer Management and Outcomes
- Cellular Mechanics and Interactions
- Advanced X-ray and CT Imaging
- Genomics and Chromatin Dynamics
- Venous Thromboembolism Diagnosis and Management
- COVID-19 Clinical Research Studies
- Collagen: Extraction and Characterization
- Wnt/β-catenin signaling in development and cancer
- Climate Change and Health Impacts
- Inflammatory Bowel Disease
- Liver Disease and Transplantation
- Microscopic Colitis
Bournemouth University
2020-2025
Stanford University
2017-2024
University of California, San Diego
2020-2023
University Hospitals Dorset NHS Foundation Trust
2021
Oxford University Hospitals NHS Trust
2014-2021
Stanford Cancer Institute
2017-2020
Phoebe Putney Memorial Hospital
2020
Royal Bournemouth and Christchurch Hospitals NHS Foundation Trust
2020
University of Oxford
2014-2018
Churchill Hospital
2011-2017
Background There is limited data on outcomes in patients with coronavirus disease 2019 (Covid-19) rural United States (US). This study aimed to describe the demographics, and of hospitalized Covid-19 Southwest Georgia.
Segmenting cell nuclei within microscopy images is a ubiquitous task in biological research and clinical applications. Unfortunately, segmenting low-contrast overlapping objects that may be tightly packed major bottleneck standard deep learning-based models. We report Nuclear Segmentation Tool (NuSeT) based on learning accurately segments across multiple types of fluorescence imaging data. Using hybrid network consisting U-Net Region Proposal Networks (RPN), followed by watershed step, we...
Significance Networks of collagen fibers are the primary mechanical component extracellular matrix many soft tissues. In common pathological and physiological conditions, networks experience a combination multiaxial shear deformation modes. Here, we show that fibrous nature leads to strong coupling between these modes due bending, buckling, stretching fibers. We have developed 3D framework describe unusual nonlinear mechanics networks, in particular, abnormally large lateral contraction...
Abstract Yes-associated protein 1 (YAP) is a transcriptional regulator with critical roles in mechanotransduction, organ size control, and regeneration. Here, using advanced tools for real-time visualization of native YAP target gene transcription dynamics, we show that cycle fast exodus nuclear to the cytoplasm followed by reentry nucleus (“localization-resets”) activates genes. These “resets” are induced calcium signaling, modulation actomyosin contractility, or mitosis. Using...
Objectives: Radiographers are key patient-facing healthcare professionals involved in many aspects of patient care. The working patterns and professional practice the radiography workforce (RW) has been altered during COVID-19 pandemic. This survey aimed to assess impact pandemic on United Kingdom (UK). Methods: An online cross-sectional UK RW was performed (March 25th April 26th, 2020). sought information regarding 1. Demographics 2. Impact 3. Infection prevention/control 4. related stress....
Abstract Objectives Predicting longer term response to biological therapy for small bowel Crohn’s disease (SBCD) is an unmet clinical need. Diffusion-weighted MR imaging (DWI) may indicate activity, but its predictive ability, if any, unknown. We investigated the prognostic value of DWI one year or remission (RoR) in SBCD patients commencing biologic therapy, including incremental over C-reactive protein (CRP) and faecal calprotectin (FC). Methods A subset participants a prospective,...
Abstract Background Small bowel Crohn’s disease (SBCD) is increasingly treated with biological therapies. Predicting response or remission (RoR) for individual patients difficult and complicates treatment strategy. We aimed to determine if motility magnetic resonance imaging (mMRI) superior CRP fecal calprotectin (FC) the prediction of RoR at 1 year in commencing biologics SBCD. Methods Prospective, multicenter (n = 13) cohort study active non-stricturing SBCD requiring anti-TNFα...
Abstract Objectives Altered body fat and muscle mass in Crohn’s disease (CD) have been linked to adverse course outcomes. Prediction of treatment response or remission (RoR) small bowel CD (SBCD) biologic therapy remains challenging. We aimed establish the prognostic value composition parameters measured using MR enterography (MRE) for RoR at 1 year patients with SBCD commencing therapy. Methods Participants were identified from those recruited a prospective, multicentre study investigating...
Only a minority of esophageal cancers demonstrates pathologic tumor response (pTR) to neoadjuvant chemotherapy (NAC). <sup>18</sup>F-FDG PET/CT is often used for restaging after NAC and assess response. Increasingly, it during therapy identify unresponsive tumors predict pTR, using avidity the primary alone. However, definitions such metabolic (mTR) vary. We aimed comprehensively reevaluate assessment accepted parameters, as well novel concepts nodal stage (mN) (mNR). <b>Methods:</b> This...
Rectal tumour segmentation in dynamic contrast-enhanced MRI (DCE-MRI) is a challenging task, and an automated consistent method would be highly desirable to improve the modelling prediction of patient outcomes from tissue contrast enhancement characteristics - particularly routine clinical practice. A framework developed automate DCE-MRI segmentation, by introducing: perfusion-supervoxels over-segment classify volumes using characteristics; pieces-of-parts graphical model, which adds global...
Objectives: The primary objective of this study is to determine the effect baseline use angiotensin-converting enzyme inhibitor (ACE-i)/AT1 blocker (ARB) on mortality in hospitalized coronavirus disease 2019 (Covid-19) African-American patients. secondary objectives are, ACE-i/ARB need for mechanical ventilation, new dialysis, ICU care, and composite above-mentioned outcomes same cohort. Methods: In retrospective study, we analyzed data using electronic medical records from all Covid-19...
Abstract Background Li-Fraumeni syndrome (LFS) is a rare autosomal dominant disease caused by inherited or de novo germline pathogenic variants in TP53 . Individuals with LFS have 70–100% lifetime risk of developing cancer. The current standard care involves annual surveillance whole-body and brain MRI (WB-MRI) clinical review; however, there are no chemoprevention agents licensed for individuals LFS. Preclinical studies murine models show that the anti-diabetic drug metformin...