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Turning Waste into Treasure: Functionalized Biomass-Derived Carbon Dots for Superselective Visualization and Eradication of Gram-Positive Bacteria.
Adv Sci (Weinh)
January 2025
State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, 2 Southeast University Road, Nanjing, 211189, P. R. China.
Gram-positive bacteria pose significant threats to human health, necessitating the development of targeted bacterial detection and eradication strategies. Nevertheless, current approaches often suffer from poor targeting specificity. Herein, the study utilizes purple rice lixivium to synthesize biomass carbon dots (termed BCDs) with wheat germ agglutinin-like residues for precisely targeting Gram-positive bacteria.
View Article and Find Full Text PDFArtificial Intelligence Revolution in Pharmaceutical Sciences: Advancements, Clinical Impacts, and Applications.
Curr Pharm Biotechnol
January 2025
Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Artificial intelligence (AI) is a rapidly transforming drug discovery and development process, significantly impacting the pharmaceutical industry and enhancing human health. This review article examines the tremendous role of AI in analyzing complex biological data, optimizing research processes, and reducing costs of production. Implementation of AI in the pharmaceutical sector can store a vast dataset of manufacturing processes, identify potential disease targets, simulate physiological conditions, and predict drug interactions.
View Article and Find Full Text PDFGenerative AI in Higher Education: Balancing Innovation and Integrity.
Br J Biomed Sci
January 2025
Department of Biosciences and Chemistry, Sheffield Hallam University, Sheffield, United Kingdom.
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores the dual-edged nature of GenAI's integration into educational practices, focusing on both its potential to enhance student engagement and learning outcomes and the significant challenges it poses to academic integrity and equity. Through a comprehensive review of current literature, we examine the implications of GenAI on assessment practices, highlighting the need for robust ethical frameworks to guide its use.
View Article and Find Full Text PDFBridging Gaps: Creating a Digital Toolkit to Support Pregnant and Parenting Youth.
J Sch Nurs
January 2025
Department of Community, Systems and Mental Health, College of Nursing, Rush University, Chicago, IL, USA.
Despite declines in teen pregnancy, pregnant teens remain at risk for poor health and educational outcomes due to a lack of care coordination and access to resources. The purpose of this project was to develop and launch a care coordination toolkit to provide resources to pregnant and parenting youth (PPY) at a large urban school district. School personnel were trained on the use of the toolkit and completed pre- and posttraining surveys to evaluate changes in knowledge and confidence.
View Article and Find Full Text PDFImproving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning.
EJNMMI Phys
January 2025
Sherbrooke Molecular Imaging Center and Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, 12th Avenue N, Sherbrooke, J1H 5N4, Québec, Canada.
Background: The renewed interest in BGO scintillators for TOF-PET is driven by the improved Cherenkov photon detection with new blue-sensitive SiPMs. However, the slower scintillation light from BGO causes significant time walk with leading edge discrimination (LED), which degrades the coincidence time resolution (CTR). To address this, a time walk correction (TWC) can be done by using the rise time measured with a second threshold.
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