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Showing results for "early lung health"

Infectious Disease Ecology and Modelling

The Infectious Disease Ecology and Modelling team led by Professor Nick Golding, combines mathematical and statistical modelling, ecology, and public health to address malaria and other infectious and vector-borne diseases. The team uses modelling and maps to measure the risk posed by some of the world’s most important and neglected diseases – including malaria, Japanese Encephalitis and COVID-19 – and provide rapid modelling analyses to policy makers.

Clinical evidence for synergy between immunotherapy and radiotherapy (SITAR)

Previous preclinical and clinical trials have shown promising antitumour activity and toxicity profile when employing the ‘Synergy between Immunotherapy and Radiotherapy’ (SITAR) strategy. Approximately, one in seven radiation therapy studies currently recruiting is investigating SITAR.

Communications Specialist – CoLab

The Opportunity: Are you an experienced and strategic communications professional who wants to use your skills to make a meaningful difference? This

Still keen and committed: piloting an instrument for identifying positive veteran teachers

Initial findings suggest the potential of the instrument in helping identifying positive veteran teachers within systems, as well as the voracity of the research approach

Maternal antibiotic exposure during pregnancy and hospitalization with infection in offspring: a population-based cohort study

Antibiotic exposure before or during pregnancy was associated with increased risk of childhood hospitalized infections

Ventricular volumes across stages of schizophrenia and other psychoses

This study aims to investigate ventricular volumes at different stages of psychosis.

CMV drives the expansion of highly functional memory T cells expressing NK-cell receptors in renal transplant recipients

Cytomegalovirus (CMV) is a common opportunistic infection encountered in renal transplant recipients (RTRs) and may be reactivated without symptoms at any time post-transplant.

Neuroanatomical Predictors of Functional Outcome in Individuals at Ultra-High Risk for Psychosis

The poorest functional outcomes have the lowest grey matter densities at identification as ultra-high risk for psychosis