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Validity and Reliability of Patient Activation Measure (PAM13-I) Italian Version Among Patient Undergoing Elective Surgery.
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Nursing Department, Universitat Rovira i Virgili, Tarragona, Spain.
The patient activation measure (PAM), a recognized measure of how active patients are in their care, is one of the most extensively used, widely translated, and tested instruments worldwide in measuring patient activation. This study aimed to assess the psychometric properties and construct validity of the Italian version of the 13-item Patient Activation Measure (PAM13-I) among patients undergoing elective laparoscopic cholecystectomy. A multicenter study was conducted across 111 surgical units in Italy.
View Article and Find Full Text PDFPET-Based Dual-Modal Probes for In Vivo Imaging.
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Department of Nuclear Medicine, Peking University Shenzhen Hospital, Shenzhen, 518036, China.
Molecular imaging has significantly advanced the detection and analysis of in vivo metabolic processes, while single-modal techniques remain limited. Dual-modal imaging, particularly positron emission tomography (PET)-based combinations has emerged as a powerful solution, offering enhanced capabilities through integration with magnetic resonance imaging (MRI) or near-infrared fluorescence (NIRF) imaging. This review highlights recent progress in PET-based dual-modal imaging, focusing on the development of various bimodal probes derived from antibodies, nanoparticles, and peptides, and key applications including image-guided surgery and disease assessment.
View Article and Find Full Text PDFA biomarker framework for liver aging: the Aging Biomarker Consortium consensus statement.
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Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China.
In human aging, liver aging per se not only increases susceptibility to liver diseases but also increases vulnerability of other organs given its central role in regulating metabolism. Total liver function tends to be well maintained in the healthy elderly, so liver aging is generally difficult to identify early. In response to this critical challenge, the Aging Biomarker Consortium of China has formulated an expert consensus on biomarkers of liver aging by synthesizing the latest scientific literature, comprising insights from both scientists and clinicians.
View Article and Find Full Text PDFEnvironment scan of generative AI infrastructure for clinical and translational science.
Npj Health Syst
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Department of Population Health Sciences, Weill Cornell Medicine, New York, NY USA.
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the CTSA Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers.
View Article and Find Full Text PDFGlobal insights into aging: a multidisciplinary approach to understanding and addressing age-related challenges.
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Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Aging has ascended to the forefront of scientific exploration, demanding a concerted global focus. The 2024 China Aging Science Conference and International Conference on Aging Biology hosted a panel discussion that brought international experts to delve into the complexities of aging research. The discussion underscores the imperative need for a multidisciplinary approach, integrating reductionist and holistic perspectives to unravel the molecular and epigenetic underpinnings of the aging process.
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