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Background: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS have not been adopted in standard care. Possible reasons for this include barriers in the implementation and a nonuser-oriented development approach, resulting in reduced user acceptance.

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Purpose: The academic field of global pediatric oncology is expanding as cancer becomes increasingly recognized as a global health priority for children and adolescents. Here, we aimed to explore the representation of authors, the geographic distribution of research, and the research approaches being used in global pediatric oncology.

Methods: Articles published in () and on the topic of global pediatric oncology were analyzed.

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Climate change is having unprecedented impacts on human health, including increasing infectious disease risk. Despite this, health systems across the world are currently not prepared for novel disease scenarios anticipated with climate change. While the need for health systems to develop climate change adaptation strategies has been stressed in the past, there is no clear consensus on how this can be achieved, especially in rural areas in low- and middle-income countries that experience high disease burdens and climate change impacts simultaneously.

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Human adenovirus type 36 (HAdV-D36) has been putatively linked to obesity in animals and has been associated with obesity in humans in some but not all studies. Despite extensive epidemiological research there is limited information about its receptor profile. We investigated the receptor portfolio of HAdV-D36 using a combined structural biology and virology approach.

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Background: Immune checkpoint inhibitors (ICIs) have revolutionised cancer therapy, yet they carry a unique spectrum of immune-related adverse events (irAEs). Given the ageing global population and the underrepresentation of older adults in clinical trials for ICIs, we investigated the occurrence and characteristics of irAEs in older versus younger adults as well as among different age subsets within the older adult population.

Methods: We analysed the U.

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