Some experts and advocates propose environmental biotechnologies such as genetic engineering, gene drive systems, and synthetic biology as potential solutions to accelerating rates of species loss. While these tools may offer hope for a seemingly intractable problem, they also present potential governance challenges for which innovative decision-making systems are required. Two of the perennial governance challenges include, when are broader stakeholder groups involved in these decisions and who exactly should be involved? We propose the decision phases framework-which includes research and development, regulatory review, and deployment, management, and monitoring-as a framework for identifying which stakeholders might be best suited for different phases throughout the innovation and deployment of emerging environmental biotechnologies for species protection.
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http://dx.doi.org/10.1002/hast.1320 | DOI Listing |
Infect Dis Ther
January 2025
ViiV Healthcare, Madrid, Spain.
Introduction: Dolutegravir (DTG) + lamivudine (3TC) demonstrated high rates of virologic suppression (VS) and low rates of virologic failure (VF), discontinuation, and drug resistance in randomized trials. Real-world evidence can support treatment effectiveness, safety, and tolerability in clinical practice and aid in treatment decisions.
Methods: A systematic literature review (SLR) was conducted to identify studies using DTG + 3TC (January 2013-March 2024).
Tumour 'bulk' has historically been considered an important prognostic marker and clinical tool to guide treatment in patients with lymphoma. However, its use and definitions in trial designs varies significantly and it is unclear how this has influenced the relevance of bulk in contemporary practice. This comprehensive literature review evaluated the definitions, applications and prognostic impact of bulk in phase 3 randomised trials in four major lymphoma subtypes.
View Article and Find Full Text PDFMicrosc Res Tech
January 2025
AIDA Lab. College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia.
The development of deep learning algorithms has transformed medical image analysis, especially in brain tumor recognition. This research introduces a robust automatic microbrain tumor identification method utilizing the VGG16 deep learning model. Microscopy magnetic resonance imaging (MMRI) scans extract detailed features, providing multi-modal insights.
View Article and Find Full Text PDFBMC Complement Med Ther
January 2025
Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran.
Background: Currently, there is no agreed-upon data collection tool for comprehensively structured documentation of Iranian traditional medicine (ITM) from the information management perspective. As ITM practice varies significantly from current medicine in diagnosis and treatment approaches, it is not appropriate to use data platforms or information systems developed for current medicine. Consequently, the collected data are non-comparable, reducing the verdicts' generalization.
View Article and Find Full Text PDFBMC Pediatr
January 2025
Department of Pediatrics, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, 07061, Korea.
Background: The Korean government implemented mandatory hospital isolation in the early phase of the COVID-19 pandemic. This study investigated the mental health of children and caregivers who underwent mandatory hospital isolation due to COVID-19.
Methods: This prospective study examined the physical condition and mental health of children under 7 years of age with COVID-19 and the mental health of their caregivers who underwent isolation in negative pressure rooms at two hospitals in Korea from April to September 2021.
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