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| http://dx.doi.org/10.1016/S2215-0366(20)30524-1 | DOI Listing |
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Goose multi-omics database: A comprehensive multi-omics database for goose genomics.
Poult Sci
January 2025
Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China. Electronic address:
Multi-omics has helped elucidate the gene expression patterns and genomic variations closely associated with economically significant traits in geese. Despite the substantial genomic data generated through extensive goose studies, a unified platform for integrating these datasets is lacking. To address this gap, we introduced the Goose Multi-omics Database (GMD), which is accessible at http://goosedb.
View Article and Find Full Text PDFEnvironment scan of generative AI infrastructure for clinical and translational science.
Npj Health Syst
January 2025
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 PDFAdvancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Comprehensive Review.
Clin Cardiol
January 2025
Department of Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Background: Technological advancements in artificial intelligence (AI) are redefining cardiac imaging by providing advanced tools for analyzing complex health data. AI is increasingly applied across various imaging modalities, including echocardiography, magnetic resonance imaging (MRI), computed tomography (CT), and nuclear imaging, to enhance diagnostic workflows and improve patient outcomes.
Hypothesis: Integrating AI into cardiac imaging enhances image quality, accelerates processing times, and improves diagnostic accuracy, enabling timely and personalized interventions that lead to better health outcomes.
Synergizing CRISPR-Cas9 with Advanced Artificial Intelligence and Machine Learning for Precision Drug Delivery: Technological Nexus and Regulatory Insights.
Curr Gene Ther
January 2025
Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
The evolution of genetic exploration tools, from laborious methods like radiationinduced mutations to the transformative CRISPR-Cas9 system, has fundamentally reshaped genetic research and gene editing capabilities. This journey, initiated by foundational techniques such as ZFNs and TALENs and culminating in the groundbreaking work of Doudna and Charpentier in 2012, has ushered in an era of precise DNA alteration and profound insights into gene functions. The CRISPR/Cas9 system uses the Cas9 enzyme and guides RNA (gRNA) to precisely target and cleave DNA, with subsequent repair via error-prone NHEJ or precise HDR, enabling versatile gene editing.
View Article and Find Full Text PDFBridging Classrooms and Communities: The Transformative Impact of Community-Based Dental Education on the Learning Experiences of Undergraduate Students.
Eur J Dent Educ
January 2025
QU Health College of Dental Medicine, Qatar University, Doha, Qatar.
Aims: This study aimed to evaluate the impact of community-based dental education (CBDE) on the learning experiences of undergraduate dental students and recent dental graduates from two diverse geographical regions.
Methods: The study followed a cross-sectional design, conducted online using Google Forms, with ethical approval from Qatar University. A non-probability purposive sampling method was used to recruit dental students and recent graduates from three institutions in India and one in Qatar.
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