The Boston Collaborative Learning Group (BCLG), a 20-member consortium of healthcare agencies and academic institutions, originated in 1996 in response to a demand for innovative cost-effective measures. Directors of Staff Development and academicians collaborate and share resources in planning preceptor education programs. Over 750 Boston area nurses have attended 1 of 10 programs offered. This article provides an historical perspective on forming a consortium and the benefits of this collaborative model.
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http://dx.doi.org/10.1097/00124645-200207000-00003 | DOI Listing |
J Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
View Article and Find Full Text PDFNutr Rev
January 2025
Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA 70808, United States.
Context: Prebiotics are often added to infant formulas to mimic the benefits of oligosaccharides found in human milk.
Objective: This systematic review and meta-analysis evaluated the effects of prebiotic-supplemented cow's milk-based formula on the gut microbiota, gut environment, growth parameters, and safety and tolerance in infants ≤6 months old, compared with a standard formula or human milk comparator.
Data Sources: Searches were performed in the PubMed, Embase, Cochrane Central Register of Controlled Trials, and ProQuest Dissertations & Theses databases.
JMIR Med Inform
January 2025
School of Software, Taiyuan University of Technology, Jingzhong, China.
Background: The prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progression into more severe neurodegenerative diseases. However, current diagnostic solutions, such as biomarkers and cognitive screening tests, prove costly, time-consuming, and invasive, hindering patient compliance and the accessibility of these tests. Therefore, exploring a more cost-effective, efficient, and noninvasive method to aid clinicians in detecting MCI is necessary.
View Article and Find Full Text PDFAnal Bioanal Chem
January 2025
Intercollege Graduate Degree Program in Plant Biology, Pennsylvania State University, University Park, PA, USA.
Species identification of botanical products is a crucial aspect of research and regulatory compliance; however, botanical classification can be difficult, especially for morphologically similar species with overlapping genetic and metabolomic markers, like those in the genus Ocimum. Untargeted LC-MS metabolomics coupled with multivariate predictive modeling provides a potential avenue for improving herbal identity investigations, but the current dearth of reference materials for many botanicals limits the applicability of these approaches. This study investigated the potential of using greenhouse-grown authentic Ocimum to build predictive models for classifying commercially available Ocimum products.
View Article and Find Full Text PDFJ Neurotrauma
January 2025
Division of Neuroscience, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, Maryland, USA.
Effective team science requires procedural harmonization for rigor and reproducibility. Multicenter studies across experimental modalities (domains) can help accelerate translation. The Translational Outcomes Project in NeuroTrauma (TOP-NT) is a pre-clinical traumatic brain injury (TBI) consortium charged with establishing and validating noninvasive TBI assessment tools through team science.
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