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Research

Parent-infant interaction quality is related to preterm status and sensory processing

Parent-infant interactions provide the foundation for the development of infant socioemotional wellbeing. Preterm birth can have a substantial, and often detrimental, impact on the quality of early parent-infant interactions. Sensory processing difficulties, common in preterm infants, are further associated with poorer interaction quality.

Research

Placental Transcription Profiling in 6–23 Weeks’ Gestation Reveals Differential Transcript Usage in Early Development

The human placenta is a rapidly developing transient organ that is key to pregnancy success. Early development of the conceptus occurs in a low oxygen environment before oxygenated maternal blood begins to flow into the placenta at ~10–12 weeks’ gestation. This process is likely to substantially affect overall placental gene expression. Transcript variability underlying gene expression has yet to be profiled.

Research

Lung abscess: 14 years of experience in a tertiary paediatric hospital

Lung abscess is a rare condition in paediatrics with a paucity of literature. Intravenous antibiotics is the main therapy; however interventional radiological approaches have led to the use of percutaneous drainage. Surgery is reserved for the management of complications.

Research

Grief and functional impairment following COVID-19 loss in a treatment-seeking sample: the mediating role of meaning

The COVID-19 pandemic has brought unprecedented levels of grief and psychological distress in community samples. We examined unique pandemic grief risk factors, dysfunctional grief, Post-traumatic Stress Disorder symptoms, general psychiatric distress, disrupted meaning, and functional impairment in a treatment-seeking sample of people bereaved from COVID-19 in the United Kingdom.

Research

Gaussian random fields: with and without covariances

We begin with isotropic Gaussian random fields, and show how the Bochner-Godement theorem gives a natural way to describe their covariance structure. We continue with a study of Matérn processes on Euclidean space, spheres, manifolds and graphs, using Bessel potentials and stochastic partial differential equations (SPDEs).

Research

Stability of benzylpenicillin for continuous intravenous infusions: An isotonic formulation for therapeutic use and a low-dose formulation for clinical trial

The objectives of this study were to develop a stability-indicating high performance liquid chromatography assay for benzylpenicillin in pharmaceutical fluids, and to investigate the stability of (i) isotonic citrate-buffered BPC solutions at the clinically relevant concentration of 30 mg/mL, and (ii) low concentration citrate-buffered BPC intravenous infusions (5–30 μg/mL).

Research

Molecular Methodologies for Improved Polymicrobial Sepsis Diagnosis

Polymicrobial sepsis is associated with worse patient outcomes than monomicrobial sepsis. Routinely used culture-dependent microbiological diagnostic techniques have low sensitivity, often leading to missed identification of all causative organisms.

Research

Does machine learning have a role in the prediction of asthma in children?

Asthma is the most common chronic lung disease in childhood. There has been a significant worldwide effort to develop tools/methods to identify children's risk for asthma as early as possible for preventative and early management strategies. Unfortunately, most childhood asthma prediction tools using conventional statistical models have modest accuracy, sensitivity, and positive predictive value.

Research

Therapeutic targeting of the leukaemia microenvironment

In recent decades, the conduct of uniform prospective clinical trials has led to improved remission rates and survival for patients with acute myeloid leukaemia and acute lymphoblastic leukaemia. However, high-risk patients continue to have inferior outcomes, where chemoresistance and relapse are common due to the survival mechanisms utilised by leukaemic cells.

Research

Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modelling

In the absence of an established gold standard, an understanding of the testing cycle from individual exposure to test outcome report is required to guide the correct interpretation of SARS-CoV-2 reverse transcriptase real-time polymerase chain reaction (RT-PCR) results and optimise the testing processes.