Aims And Method: Dementia in-patient units (DIU) are mental health wards that care for people living with dementia (PLWD) whose symptoms are causing severe distress or potential risk. DIUs look after some of the most vulnerable and unwell people in society, yet they are environments that are underresearched: a recent systematic review revealed only 36 articles worldwide relating to DIUs. To better understand research priorities in DIUs, we undertook a two-round online Delphi survey of PLWD with experience of DIUs, their carers and professionals who work in DIUs.
View Article and Find Full Text PDFObjective: We manipulate the presence, skill, and display of artificial intelligence (AI) recommendations in a strategy game to measure their effect on users' performance.
Background: Many applications of AI require humans and AI agents to make decisions collaboratively. Success depends on how appropriately humans rely on the AI agent.
Introduction: This study investigates family carers experiences of inpatient mental health care for people with dementia. A mental health inpatient admission for a person with dementia is usually considered when a person is distressed and this distress leads to behaviours that are assessed to be risky for the person or others.
Methods: Participants included seven family carers whose relative with dementia had been cared for within a mental health ward in the United Kingdom UK within the last 5 years.
An optimized, well-tested and validated targeted genomic sequencing-based high-throughput assay is currently not available ready for routine biodefense and biosurveillance applications. Earlier, we addressed this gap by developing and establishing baseline comparisons of a multiplex end-point Polymerase Chain Reaction (PCR) assay followed by Oxford Nanopore Technology (ONT) based amplicon sequencing to real time PCR and customized data processing. Here, we expand upon this effort by identifying the optimal ONT library preparation method for integration into a novel software platform ONT-DART (ONT-Detection of Amplicons in Real-Time).
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