HDAC1-3 inhibition triggers NEDD4-mediated CCR2 downregulation and attenuates immunosuppression in myeloid-derived suppressor cells by Zhiqi Xie, Jinjin Shao, Zeren Shen, Zhichao Ye, Yoshiaki Okada, Daisuke Okuzaki, Naoki Okada, Masashi Tachibana

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Updated treatment guidelines for drug-resistant TB: how safe are clofazimine-based regimens? by E. Pontali, M. Raviglione

“…Here, we discuss the cardiac safety of Cfz and the role of active drug safety monitoring at the programme level in collecting information on this issue.…”
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Digital twin-enhanced three-organ microphysiological system for studying drug pharmacokinetics in pregnant women by Katja Graf, José Martin Murrieta-Coxca, Tobias Vogt, Sophie Besser, Daria Geilen, Tim Kaden, Tim Kaden, Anne-Katrin Bothe, Diana Maria Morales-Prieto, Behnam Amiri, Behnam Amiri, Stephan Schaller, Ligaya Kaufmann, Martin Raasch, Ramy M. Ammar, Ramy M. Ammar, Christian Maass, Christian Maass

“…Long-term exposure simulations confirmed the value of this integrated system for predicting the non-toxic metabolization of prednisone.ConclusionThis approach may provide a potential non-animal alternative that could contribute to our understanding of drug behavior during pregnancy and may support early-stage drug safety assessment for vulnerable populations.…”
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Political economics in health and implications for neurosurgery diseases by Yi Han, Yutao Huang

“…It encompasses a diverse range of interconnected domains, including the economy, welfare, the environment, food and drug safety, pollution emissions, occupational safety, the quality of medical services, consumer rights, public health policy, healthcare policy, scientific research, and marketing management. …”
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Nano Delivery System for Atherosclerosis by Zhuoyi Rong, Xuan He, Tianjian Fan, Haitao Zhang

“…This review will focus on how nanoparticles effectively improve drug safety and efficacy, as well as the continuous development and optimization of nanoparticles of the same material and further explore current challenges and future opportunities in this field.…”
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Osteogenic Differentiation of Mesenchymal Stem Cells via Curcumin-Containing Nanoscaffolds by Khadijeh Khezri, Solmaz Maleki Dizaj, Yalda Rahbar Saadat, Simin Sharifi, Shahriar Shahi, Elham Ahmadian, Aziz Eftekhari, Elaheh Dalir Abdolahinia, Farzaneh Lotfipour

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Clinical Efficacy and Safety Analysis of Levofloxacin for the Prevention of Infection after Traumatic Osteoarthrosis and Internal Fixation: Systematic Review and Meta-Analysis by Weiliang Wang, ChuanQi Zou, Jie Zhang

“…Newsletter and FDA Drug Safety Newsletter, also to retrieve the Websites of Chinese, Chinese, and drug regulatory authorities; To obtain data on adverse events in children with systemic administration of levofloxacin. …”
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Rapid Detection of Pesticide Residues in Chinese Herbal Medicines by Fourier Transform Infrared Spectroscopy Coupled with Partial Least Squares Regression by Tianming Yang, Rong Zhou, Du Jiang, Haiyan Fu, Rui Su, Yangxi Liu, Hanbo Su

“…In conclusion, FT-IR spectroscopy in combination with PLSR has been demonstrated for its application in rapid screening and quantitative analysis of multipesticide residues in Chinese herbal medicines without physical or chemical separation pretreatment step and any spectral processing, which also implies other potential applications such as food and drug safety, herbal plants quality, and environmental evaluation, due to its advantages of nontoxic and nondestructive analysis.…”
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HDN-DDI: a novel framework for predicting drug-drug interactions using hierarchical molecular graphs and enhanced dual-view representation learning by Jinchen Sun, Haoran Zheng

“…Conclusion With its accurate predictions and robust generalization across different settings, HDN-DDI shows promise for enhancing drug safety and efficacy. Future research will focus on refining decomposition rules as well as integrating external knowledge while preserving the model’s generalization capabilities.…”
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Acorus shannai (Acoraceae), a new species from Southern China by Zhuo Cheng, Xinyu Liu, Nianting Yu, Weizhe Chen, Haofeng Zhao, Feifei Li, Chunlin Long

“…The recognition of A. shannai is not only important for the species diversity and phylogenetic relationship of Acorus, but also can avoid the drug safety caused by using other Acorus species as A. shannai to eat and promote the conservation of A. shannai resources.…”
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Understanding the causes of intravenous medication administration errors in hospitals: a qualitative critical incident study by Darren M Ashcroft, Richard N Keers, Jonathan Cooke, Steven D Williams

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Identification and characterization of a novel tetrapeptide from enzymatic hydrolysates of Baijiu byproduct by Qiang Wu, Changqing Zhong, Guirong Zeng, Xu Zhang, Liping Xiang, Chang Wan, Yougui Yu

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Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

“…It delves into the notable benefits and challenges encountered in advancing data analytics of the early 21st century.In many countries, Post-marketing surveillance of drug safety relinquishes on a systematic analysis of spontaneous using Generative artificial intelligence (AI) to overcome gaps in the present PV ecosystem is critical to maintaining an uninterrupted record of security and effectiveness within healthcare analytics, data mining techniques, predictive analytics, and the emergence of scientific fields like bioinformatics and health informatics are empowered by Big Data. …”
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Integrated Network Pharmacology and Gut Microbiota Study on the Mechanism of Huangqin Decoction in Treatment Diabetic Enteritis by Xiaomin Xu, Cheng Fang, Fang Lu, Shumin Liu

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Synergistic activity of Pitstop-2 and 1,6-hexanediol in aggressive human lung cancer cells by Sílvio Terra Stefanello, Caren Rigon Mizdal, Aline Franzen da Silva, Luca Matteo Todesca, Félix Alexandre Antunes Soares, Victor Shahin

“…Moreover, motility assays show that the compounds combination significantly impedes the motility of all cells. Drug safety and tolerability assessments were validated using the in vivo model organism Caenorhabditis elegans, where fairly high doses showed negligible impact on survival, development, or behavioral parameters. …”
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Association of expedited review programmes with postmarketing safety events of new drugs approved by the US food and drug administration between 2007 and 2017 by Bao Liu, Xingyue Zhu

“…Objective To explore the associations between the risks of postmarketing safety events of new drugs and the four expedited programmes of priority review, accelerated approval, fast track and breakthrough therapy established by the US Food and Drug Administration (FDA); and to investigate whether multiple uses of expedited programmes, and the combinations of expedited programmes with orphan designation, were relevant to different safety profiles.Design Cohort study.Setting USA.Participants All new drugs approved by the FDA between 1 January 2007 and 31 December 2017, followed up until 10 April 2021.Outcome measures Safety events included safety-related withdrawal, new boxed warning, drug safety communication, postapproval risk evaluation mitigation strategy and safety-related labelling changes. …”
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Knowledge, Attitude, Practice, and Barriers of Adverse Drug Reaction Reporting Among Healthcare Professionals in Timor‐Leste: A Cross‐Sectional Survey by Juanina daCosta, Wichit Nosoongnoen, Watcharee Rungapiromnan, Pramote Tragulpiankit

“…Positive attitudes were observed, with 53.4% agreeing that ADR reporting is crucial for drug safety, although only 22.0% reported observed ADRs. …”
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Postpartum changes in maternal physiology and milk composition: a comprehensive database for developing lactation physiologically-based pharmacokinetic models by Neel Deferm, Neel Deferm, Jean Dinh, Jean Dinh, Amita Pansari, Masoud Jamei, Khaled Abduljalil

“…IntroductionPharmacotherapy during lactation often lacks reliable drug safety data, resulting in delayed treatment or early cessation of breastfeeding. …”
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GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment by Bing Yan, Zhining Wen, Lili Xue, Tianyi Wang, Zhichao Liu, Wulin Long, Yi Li, Runyu Jing

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hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses by Dohyeon Lee, Sunyong Yoo

“…Our model achieved an area under the receiver operating characteristic of 0.907 and an area under the precision-recall of 0.904, demonstrating its effectiveness in modeling hERG activity and offering a reliable framework for optimizing drug safety in early development stages. Scientific contribution: hERGAT is a deep learning model for predicting hERG blockers by combining GAT and GRU, enabling it to capture complex interactions at atomic and molecular levels. …”
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