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Background: Mental health remains among the top 10 leading causes of disease burden globally, and there is a significant treatment gap due to limited resources, stigma, limited accessibility, and low perceived need for treatment. Problem Management Plus, a World Health Organization-endorsed brief psychological intervention for mental health disorders, has been shown to be effective and cost-effective in various countries globally but faces implementation challenges, such as quality control in training, supervision, and delivery. While digital technologies to foster mental health care have the potential to close treatment gaps and address the issues of quality control, their development requires context-specific, interdisciplinary, and participatory approaches to enhance impact and acceptance.
View Article and Find Full Text PDFCharacterisation of sleep in a mouse model of CLN3 disease revealed sex-specific sleep disturbances.
J Sleep Res
January 2025
Department of Ophthalmology and Visual Sciences, University of Kentucky, Lexington, Kentucky, USA.
The neuronal ceroid lipofuscinoses (NCLs) are a group of recessively inherited neurodegenerative diseases characterizsed by lysosomal storage of fluorescent materials. CLN3 disease, or juvenile Batten disease, is the most common NCL that is caused by mutations in the Ceroid Lipofuscinosis, Neuronal 3 (CLN3) gene. Sleep disturbances are among the most common symptoms associated with CLN3 disease that deteriorate the patients' life quality, yet this is understudied and has not been delineated in animal models of the disease.
View Article and Find Full Text PDFThe Impact of Intelligent Delivery Systems and Automated Rail Logistics on the Efficiency and Safety of Clinical Item Transportation: A Observational Studies.
Inquiry
January 2025
The People's Hospital of Jianyang City, Jianyang, Sichuan Province, China.
This paper aims to establish an intelligent delivery system integrated with track logistics and explores its impact on the clinical transportation of goods. The study analyzed hospital delivery items before and after the implementation of an intelligent delivery system combined with automated track logistics in 2023. Delivery conditions prior to the system's activation served as the control group, while those post-implementation formed the observation group.
View Article and Find Full Text PDFAutomated Integration of AI Results into Radiology Reports Using Common Data Elements.
J Imaging Inform Med
January 2025
Department of Radiology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.
View Article and Find Full Text PDFA genome-wide atlas of human cell morphology.
Nat Methods
January 2025
Broad Institute of MIT and Harvard, Cambridge, MA, USA.
A key challenge of the modern genomics era is developing empirical data-driven representations of gene function. Here we present the first unbiased morphology-based genome-wide perturbation atlas in human cells, containing three genome-wide genotype-phenotype maps comprising CRISPR-Cas9-based knockouts of >20,000 genes in >30 million cells. Our optical pooled cell profiling platform (PERISCOPE) combines a destainable high-dimensional phenotyping panel (based on Cell Painting) with optical sequencing of molecular barcodes and a scalable open-source analysis pipeline to facilitate massively parallel screening of pooled perturbation libraries.
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