In the title compound, [PdBr(2)(C(18)H(15)As)(2)], the Pd(II) ion resides on a centre of symmetry and is coordinated by two As atoms [Pd-As = 2.4184 (3) Å] and two Br anions [Pd-Br = 2.4196 (3) Å] in a slightly distorted square-planar geometry [As-Pd-Br = 90.12 (1)°]. The crystal packing exhibits weak inter-molecular C-H⋯Br inter-actions.
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http://dx.doi.org/10.1107/S1600536809001986 | DOI Listing |
J Med Internet Res
January 2025
Department of Anesthesiology and Critical Care, CHU Rouen, Rouen, France.
Background: Intensive care units (ICUs) handle the most critical patients with a high risk of mortality. Due to those conditions, close monitoring is necessary and therefore, a large volume of data is collected. Collaborative ventures have enabled the emergence of large open access databases, leading to numerous publications in the field.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Chronic Disease Epidemiology, Population and Public Health, Pennington Biomedical Research Center, Baton Rouge, LA, United States.
Background: Electronic health records (EHRs) facilitate the accessibility and sharing of patient data among various health care providers, contributing to more coordinated and efficient care.
Objective: This study aimed to summarize the evolution of secondary use of EHRs and their interoperability in medical research over the past 25 years.
Methods: We conducted an extensive literature search in the PubMed, Scopus, and Web of Science databases using the keywords Electronic health record and Electronic medical record in the title or abstract and Medical research in all fields from 2000 to 2024.
PLoS One
January 2025
IDEA Lab, University of British Columbia, Vancouver, BC, Canada.
Both virtual reality and aromatherapy have shown promising impacts on the health and well-being of older adults. Aromatherapy has been reported to enhance immersive experiences during virtual reality programs. However, studies on the combined use and impact of virtual reality and aromatherapy for older adults have not been systematically reviewed.
View Article and Find Full Text PDFDrug Saf
January 2025
Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Background: Natural language processing (NLP) and machine learning (ML) techniques may help harness unstructured free-text electronic health record (EHR) data to detect adverse drug events (ADEs) and thus improve pharmacovigilance. However, evidence of their real-world effectiveness remains unclear.
Objective: To summarise the evidence on the effectiveness of NLP/ML in detecting ADEs from unstructured EHR data and ultimately improve pharmacovigilance in comparison to other data sources.
Background: Recent research by Da et al. (2023) has demonstrated that non-invasive gamma sensory stimulation can reduce brain white matter atrophy and myelin content loss. The impact on the Corpus Callosum (CC), the brain's largest commissural white matter tract essential for hemispheric connectivity, remains unexplored.
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