Publications by authors named "O Watson"

Background: Exercise in healthy individuals is associated with a hypercoagulable phase, leading to a temporary increase in clot mass and strength, which are controlled by an effective fibrinolytic system. Conversely, people with cardiovascular diseases often have a reduced fibrinolytic pathway, increased clot mass and abnormal clot contraction, resulting in poorer outcomes. We assessed clot microstructure, particularly the contractile forces of clot formation, in response to two exercise intensities in middle-aged/older runners.

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Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in economics, medicine and social science, have the potential to transform the scope and power of infectious disease epidemiology. Here we consider the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science.

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We aimed to validate an in vitro model of proliferative vitreoretinopathy (PVR) and investigate the effect of 670 nm light photobiomodulation (PBM) on PVR pathophysiology.Immortalised retinal pigment epithelial cells (ARPE-19) were seeded at 3.0 × 10 cells/well.

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Background: The COVID-19 pandemic has underscored the beneficial impact of vaccines. It also highlighted the need for future investments to expedite an equitable vaccine distribution. The 100 Days Mission aims to develop and make available a new vaccine against a future pathogen with pandemic potential within 100 days of that pathogen threat being recognised.

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Article Synopsis
  • In 2014, a significant mutation linked to artemisinin resistance, known as K13 561H, was first detected in Rwanda, making it crucial to monitor its spread.
  • Researchers utilized advanced blood preservation and pooled sequencing methods to assess the frequency of this mutation across multiple sites in Rwanda and neighboring countries from May 2022 to March 2023.
  • Results showed that K13 561H and 675V mutations were prevalent in Rwanda, with concerning additional mutations emerging, signaling threats to malaria treatment efficacy and control efforts in the region.
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