The coronavirus disease 2019 (COVID-19) pandemic and the accompanying control measures have significantly affected clinical trial (CT) conduct, and sponsors have needed to make rapid changes to their CT operations. As a result, regulatory guidance was pivotal during the initial phases of the pandemic. This study aimed to evaluate the regulatory readiness and guidance related to COVID-19 in the European Union (EU). The European Medicines Agency (EMA) and national competent authorities' (NCAs') websites were searched in September and October 2020 for guidances on the management of CTs during the pandemic published from January 2020 onward. "Regulatory readiness" was defined as the number of days from the first European COVID-19 case (January 24, 2020) to the first published guidance by the respective NCA. "Regulatory guidance" was evaluated by coding the guidances for the following predefined operational trial activities important for ongoing CTs: obtaining informed consent, participant information, clinic visits, home health visits, telemedicine visits, self-monitoring, investigational medicinal product (IMP) supply, IMP adherence monitoring, CT monitoring, documentation management, regulatory management, and safety management. Twenty-four of the 27 EU NCAs published country-specific guidance. The time from the first European COVID-19 case to the first published EMA guidance was 56 days and ranged from 47 to 66 days for the first national guidances. Guidance was provided most frequently for regulatory management (24/24), safety management (23/24), documentation management (22/24), and CT monitoring (22/24). The regulatory guidance provided during the pandemic, ensuring participant safety and data integrity, may now be the starting point to innovate future CT conduct.
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http://dx.doi.org/10.1002/cpt.2225 | DOI Listing |
J Diabetes Sci Technol
December 2024
CyberActa, Sudbury, MA, USA.
The use of artificial intelligence (AI) in diabetes management is emerging as a promising solution to improve the monitoring and personalization of therapies. However, the integration of such technologies in the clinical setting poses significant challenges related to safety, security, and compliance with sensitive patient data, as well as the potential direct consequences on patient health. This article provides guidance for developers and researchers on identifying and addressing these safety, security, and compliance challenges in AI systems for diabetes management.
View Article and Find Full Text PDFJ Cheminform
December 2024
Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Ensuring the safety of chemicals for environmental and human health involves assessing physicochemical (PC) and toxicokinetic (TK) properties, which are crucial for absorption, distribution, metabolism, excretion, and toxicity (ADMET). Computational methods play a vital role in predicting these properties, given the current trends in reducing experimental approaches, especially those that involve animal experimentation. In the present manuscript, twelve software tools implementing Quantitative Structure-Activity Relationship (QSAR) models were selected for the prediction of 17 relevant PC and TK properties.
View Article and Find Full Text PDFCancer Cell Int
December 2024
Laboratory of Stem Cell Regulation with Chinese Medicine and Its Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China.
Oral cancer progresses from asymptomatic to advanced stages, often involving cervical lymph node metastasis, resistance to chemotherapy, and an unfavorable prognosis. Clarifying its potential mechanisms is vital for developing effective theraputic strategies. Recent research suggests a substantial involvement of non-coding RNA (ncRNA) in the initiation and advancement of oral cancer.
View Article and Find Full Text PDFRespir Res
December 2024
Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Backgroud: Recent studies have reported mitochondrial damage and metabolic dysregulation in BPD, but the changes in mitochondrial dynamics and glucose metabolic reprogramming in ATII cells and their regulatory relationship have not been reported.
Methods: Neonatal rats in this study were divided into model (FIO2:85%) and control (FIO2: 21%) groups. Lung tissues were extracted at 3, 7, 10 and 14 postnatal days and then conducted HE staining for histopathological observation.
Cell Mol Life Sci
December 2024
Department of Thoracic Surgery Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Objective: Intrahepatic cholangiocarcinoma (iCCA) is a highly lethal hepatobiliary malignancy with an increasing incidence annually. Extensive research has elucidated the existence of a reciprocal interaction between platelets and cancer cells, which promotes tumor proliferation and metastasis. This study aims to investigate the function and mechanism underlying iCCA progression driven by the interplay between platelets and tumor cells, aiming to provide novel therapeutic strategies for iCCA.
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