A live, virtual conference, "Driving Responsible Conduct of Research during a Pandemic," was held in April 2021, 13 months after the COVID-19 pandemic fundamentally altered the conduct of clinical research across the USA. New York was an early epicenter of the US pandemic, highlighting preexisting problems in clinical research and allowing us to assess lessons learned and to identify best practices for the future. Risks and opportunities were categorized broadly into three areas, protecting the welfare and safety of human subjects, ensuring trust in science and medicine, and implementing efficient, ethical, and compliant clinical research. Analysis of conference proceedings, and recent publications, shows a need for preparedness that is more effective, robust partnerships, and organizational systems and standards to strengthen the ethical and responsible conduct of research.
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http://dx.doi.org/10.1017/cts.2023.13 | DOI Listing |
J Gen Intern Med
January 2025
Department of Population Health Sciences, Spencer Fox Eccles School of Medicine at the University of Utah, Salt Lake City, UT, USA.
Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) may occur after infection. How often people develop ME/CFS after SARS-CoV-2 infection is unknown.
Objective: To determine the incidence and prevalence of post-COVID-19 ME/CFS among adults enrolled in the Researching COVID to Enhance Recovery (RECOVER-Adult) study.
Phys Eng Sci Med
January 2025
School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia.
Artificial Intelligence (AI) based auto-segmentation has demonstrated numerous benefits to clinical radiotherapy workflows. However, the rapidly changing regulatory, research, and market environment presents challenges around selecting and evaluating the most suitable solution. To support the clinical adoption of AI auto-segmentation systems, Selection Criteria recommendations were developed to enable a holistic evaluation of vendors, considering not only raw performance but associated risks uniquely related to the clinical deployment of AI.
View Article and Find Full Text PDFWorld J Urol
January 2025
Research & Analysis Services, University Hospital Basel, Steinengraben 36, Basel, 4051, Switzerland.
Background: Multidisciplinary teams (MDTs) are essential for cancer care but are resource-intensive. Decision-making processes within MDTs, while critical, contribute to increased healthcare costs due to the need for specialist time and coordination. The recent emergence of large language models (LLMs) offers the potential to improve the efficiency and accuracy of clinical decision-making processes, potentially reducing costs associated with traditional MDT models.
View Article and Find Full Text PDFTurk Arch Pediatr
January 2025
Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Guwahati, Assam, India.
Objective: The personal experiences of breastfeeding healthcare workers may influence the quality of breastfeeding support provided. This study explored the breastfeeding experiences of nurses and support staff in South India. Materials and Methods: A qualitative exploratory study using focus group discussions (FGDs) was conducted among nurses and support staff of a newly established tertiary care hospital in South India.
View Article and Find Full Text PDFBehav Neurol
January 2025
Laboratory of Neurobiology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Astrocytes are the primary cell type in the central nervous system, responsible for maintaining the stability of the brain's internal environment and supporting neuronal functions. Researches have demonstrated the close relationship between astrocytes and the pathophysiology and etiology of major depressive disorder. However, the regulatory mechanisms of astrocytes during depression remain unclear.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!