Antibiotics for Paediatric Community-Acquired Pneumonia: What is the Optimal Course Duration?

Despite significant global reductions in cases of pneumonia during the last 3 decades, pneumonia remains the leading cause of post-neonatal mortality in children aged <5 years. Beyond the immediate disease burden it imposes, pneumonia contributes to long-term morbidity, including lung function deficits and bronchiectasis. Viruses are the most common cause of childhood pneumonia, but bacteria also play a crucial role.

Enabling next-generation engineered TCR-T therapies based on high-throughput TCR discovery from diagnostic tumor biopsies.

Adoptive cell therapy with tumor-infiltrating lymphocytes (TIL) can mediate tumor regression, including complete and durable responses, in a range of solid cancers, most notably in melanoma. However, its wider application and efficacy has been restricted by the limited accessibility, proliferative capacity and effector function of tumor-specific TIL. Here, we develop a platform for the efficient identification of tumor-specific TCR genes from diagnostic tumor biopsies, including core-needle biopsies frozen in a non-viable format, to enable engineered T cell therapy.

Robust stochastic optimisation strategies for locoregional hyperthermia treatment planning using polynomial chaos expansion.

Conventional temperature optimization in hyperthermia treatment planning aims to maximize tumour temperature (e.g.90; the temperature reached in at least 90% of the tumour) while enforcing hard constraints on normal tissue temperature (max(T) ⩽45 °C).

Can artificial intelligence improve patient educational material readability? A systematic review and narrative synthesis.

Enhancing patient comprehension of their health is crucial in improving health outcomes. The integration of artificial intelligence (AI) in distilling medical information into a conversational, legible format can potentially enhance health literacy. This review aims to examine the accuracy, reliability, comprehensiveness and readability of medical patient education materials (PEMs) simplified by AI models.

Incidental findings in research brain MRI: Definition, prevalence and ethical implications.

Radiological incidental findings (IFs) are previously undetected abnormalities which are unrelated to the original indication for imaging and are unexpectedly discovered. In brain magnetic resonance imaging (MRI), the prevalence of IFs is increasing. By reviewing the literature on IFs in brain MRI performed for research purposes and discussing ethical considerations of IFs, this paper provides an overview of brain IF research results and factors contributing to inconsistencies and considers how the consent process can be improved from an ethical perspective.