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http://dx.doi.org/10.1080/14737140.2021.1951240 | DOI Listing |
Clin Pharmacol Ther
September 2025
School of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
This cross-sectional study aims to demonstrate the impact of China's 2015 review and approval reform on the delays in market entry for novel geriatric drugs, as well as the capability of domestic innovation in developing geriatric drugs. We analyzed the novel geriatric drugs approved by the US Food and Drug Administration (FDA) between 2005 and 2024 to assess the drug lags in China by using the EU and Japan as comparators. During this period, the FDA approved a total of 183 novel drugs targeting geriatric diseases, of which 109 were also approved by the NMPA.
View Article and Find Full Text PDFNurse Educ Pract
September 2025
University of Exeter, Interim Head, Academy of Nursing, Exeter, United Kingdom.
Aim: This study aims to assess the acceptance of a VR-based disaster emergency nursing escape room teaching method among nurses and midwives and to explore the main factors influencing their acceptance.
Background: The increasing frequency of natural disasters due to global climate change poses a significant threat to human health. Effective training for nurses and midwives is critical as they are frontline responders in disaster relief.
J Orthop Res
September 2025
Department of Mechanical Engineering, University of Louisville, Louisville, Kentucky, USA.
The use of cementless total knee arthroplasty (TKA) has significantly increased over the past decade. However, there is no objective criteria or consensus on parameters for patient selection for cementless TKA. The purpose of this study was to develop a machine learning model based on patient and radiographic parameters that could identify patients indicated for cementless TKA.
View Article and Find Full Text PDFDrug Discov Today
September 2025
Department of Pharmaceutical and Artificial-Intelligence Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Key Laboratory of Protection, Development and Utilization of Medicinal Resources in Liupanshan Area, Ministry of Education, Peptide & Protein Drug Research Cen
The landscape of allosteric drug discovery is undergoing a transformative shift, driven by the integration of three computational approaches: machine learning (ML), molecular dynamics (MD) simulations, and network theory. ML identifies potential allosteric sites from multidimensional biological datasets; MD simulations, empowered by enhanced sampling algorithms, reveal transient conformational states; and network analyses uncover communication pathways, further aiding in site identification. Their synergy enables rational allosteric modulator design.
View Article and Find Full Text PDFAm J Pharm Educ
September 2025
Department of Pharmacotherapy, University of Utah College of Pharmacy, 30 South 2000 East, Salt Lake City, Utah 84112. Electronic address:
The accelerating adoption of artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, has raised critical questions about the role of pharmacists and the potential for AI to substitute for human expertise in pharmaceutical care. Grounded in Porter's Five Forces framework-specifically the threat of substitutes-this commentary explores whether AI can adequately fulfill the complex and relational functions of pharmacists in delivering care to patients. Drawing from foundational definitions of pharmaceutical care and economic theories of substitution, the paper examines both historical and emerging competitors to pharmacist-provided services, including physicians, nurses, and now AI-powered tools.
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