A5074640353- Osteoarthritis Treatment and Mechanisms
- Advanced Memory and Neural Computing
- Bone and Joint Diseases
- Geological and Geochemical Analysis
- Lower Extremity Biomechanics and Pathologies
- High-pressure geophysics and materials
- Ferroelectric and Negative Capacitance Devices
- Rheumatoid Arthritis Research and Therapies
- Total Knee Arthroplasty Outcomes
- Knee injuries and reconstruction techniques
- Neural dynamics and brain function
- earthquake and tectonic studies
- Musculoskeletal synovial abnormalities and treatments
- Geomagnetism and Paleomagnetism Studies
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
- Software Engineering Research
- MRI in cancer diagnosis
- Software System Performance and Reliability
- Photoreceptor and optogenetics research
- Business Process Modeling and Analysis
- Orthopedic Infections and Treatments
- Theoretical and Computational Physics
- Musculoskeletal Disorders and Rehabilitation
- Medical Image Segmentation Techniques
University of Manchester
2013-2023
Versus Arthritis
2012
University of Leeds
2007-2008
Objective Braces used to treat (PF) osteoarthritis (OA) may reduce contact stress across the PF joint. We hypothesised that in OA, braces would decrease knee pain and shrink bone marrow lesions (BMLs). Methods Eligible subjects had painful OA. Subjects were randomly allocated brace or no for 6 weeks. Knee MRIs acquired at baseline measured BMLs on post-contrast fat suppressed sagittal proton density weighted axial images. The primary symptom outcome was change weeks during a preselected...
Synovitis occurring frequently in osteoarthritis (OA) may be a targeted outcome. There are no data examining whether synovitis changes following intra-articular intervention.Persons aged 40 years and older with painful knee OA participated an open label trial of steroid therapy. At all time points they completed the Knee Injury Osteoarthritis Outcome Score (KOOS) questionnaire. They had contrast-enhanced (CE) MRI immediately prior to injection repeat scan within 20 days. Response status was...
This work presents sPyNNaker 4.0.0, the latest version of software package for simulating PyNN-defined spiking neural networks (SNNs) on SpiNNaker neuromorphic platform. Operations underpinning realtime SNN execution are presented, including an event-based operating system facilitating efficient time-driven neuron state updates and pipelined event-driven spike processing. Preprocessing, execution, neuron/synapse model implementations discussed, all in context a simple example SNN. Simulation...
The aim was to examine if structural factors could affect response intra-articular steroid injections (IASI) in knee osteoarthritis (OA). Persons with painful OA participated an open-label trial of IASI where radiographic joint space narrowing (JSN) and Kellgren-Lawrence (KL) grade, whole-organ magnetic resonance imaging (MRI) scores (WORMS) quantitative assessment synovial tissue volume (STV) were assessed on baseline images. Participants completed the Knee Injury Osteoarthritis Outcome...
<h2>Summary</h2><h3>Objective</h3> Synovium is increasingly a target of osteoarthritis (OA) treatment, yet its optimal measurement unclear. Using dynamic contrast enhanced (DCE) MRI in knee OA patients before and after intraarticular steroid injection, we compared the responsiveness static synovial volume measures to changes enhancement, that are strongly related vascularity. <h3>Methods</h3> Ninety three underwent DCE-MRI 1–2 weeks intra-articular injection 80 mg methylprednisolone. was...
SpiNNaker is a massively parallel distributed architecture primarily focused on real time simula- tion of spiking neural networks. The largest realisation the consists one million general purpose processors, making it neuromorphic computing platform in world at present time. Utilising these processors efficiently requires expert knowledge archi- tecture to generate executable code and harness potential unique inter-processor communications infra-structure that lies heart architecture. This...
Real-time simulation of a large-scale biologically representative spiking neural network is presented, through the use heterogeneous parallelisation scheme and SpiNNaker neuromorphic hardware. A published cortical microcircuit model used as benchmark test case, representing approx. 1 square mm early sensory cortex, containing 77k neurons 0.3 billion synapses. This first true real-time this model, with 10 s biological time executed in wall-clock time. surpasses best efforts on HPC simulators...
Purpose Synovitis is common in knee osteoarthritis and associated with both pain progression of disease. Semiautomated methods have been developed for quantitative assessment structure osteoarthritis. Our aims were to apply a novel semiautomated method using 3D active appearance modeling the quantification synovial tissue volume (STV) compare its performance conventional manual segmentation. Methods Thirty‐two sagittal T 1 ‐weighted fat‐suppressed contrast‐enhanced MRIs assessed STV by...
Evolving plate configurations and dynamically determined velocities are featured in Cartesian geometry mantle convection simulations. The numerical model enables the evolution of shape size by migrating idealized triple junctions. motion junctions responds to time‐dependent adjacent plates. Each calculation includes four high‐viscosity plates a 3 × 1 solution domain. We analyze effect on time dependence velocity heat flux three different models characterized lower upper viscosity ratios 30,...
Braces are used to treat pain in patellofemoral joint osteoarthritis (PFJOA). In a trial, we previously reported improvement after 6-weeks brace use. The reduction did not correlate with changes Magnetic Resonance Imaging (MRI) assessed Bone Marrow Lesion volume or static synovial volume. Studies show that the synovium on dynamic contrast enhanced (DCE) MRI more closely associated symptom change than changes. We hypothesised synovitis using imaging could explain pain. One hundred twenty-six...
We present the findings from a study of 2-D Cartesian geometry mantle convection simulations carried out to determine how plate velocities and surface basal heat flux respond an evolving geometry. model flow for periods equating hundreds millions years find that while calculations feature fixed geometries exhibit regular reversals in motion, this behaviour is absent models featuring boundaries. However, boundaries plates with either fixed-thickness or temporally varying thickness are highly...
Previous studies have shown that 3D vigorously convecting systems featuring plate‐like surface motion and lower mantle viscosities much greater than the upper viscosity can yield long lived intraplate plumes if plate boundaries remain fixed. We investigate whether originating in a 90 times more viscous will maintain relatively fixed positions when dynamic evolution is present. compare findings from pair of calculations four plates 3 × 1 periodic Cartesian geometry model. In both...
Online learning in neural networks has the potential to transform AI research. By enabling new information be assimilated into existing systems, platforms can adaptive unseen data and personalise performance an individual. A common approach providing a user is send queries remote cloud service which processes sends back response. Neuromorphic hardware offers alternate solution by dedicated computing platform from run locally efficiently. This work explores of SpiNNaker neuromorphic...
Earth's evolution has featured stages of relatively steady plate motion interrupted by brief periods rapid change in direction. Previous studies have shown that vigorously convecting internally heated systems featuring dynamically determined plate‐like surface can also be characterized predominantly punctuated comparatively short reorganization events. Here, we investigate time‐dependence two mantle convection models significantly contrasting viscosity profiles and assess the influence lower...
Following the initial implementation of a full-scale spiking neural network (SNN) cortical microcircuit on NEST, work was replicated to simulate SpiNNaker, Juelich CPU cluster, and Sussex GPU in order compare performances different platforms. All these researches use Leaky Integrate Fire (LIF) model as basic unit neurons. In comparison, Izhikevich's neuron models (IZK) can mimic larger variety known neuronal dynamics. spite this versatility, IZK is easy implement computes fast. work, we...