In this contribution, we set out a framework for ethical research and innovation. Our framework draws upon recent scholarly work recommending the introduction of new models at the intersection of ethics, strategy, and science and technology studies to inform and explicate how the decisions of researchers can be considered ethical. Ethical research and innovation is construed in our framework as a dynamic process emerging from decisions of multiple stakeholders in innovation ecosystems prior to, during and after the execution of a research and innovation project. The framework can be used by different types of research organizations to implement governance models of ethical research and innovation.
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http://dx.doi.org/10.1007/s11948-021-00287-9 | DOI Listing |
Pharmaceuticals (Basel)
January 2025
College of Pharmacy, University of Illinois, Chicago, IL 60612, USA.
Artificial Intelligence (AI) has the disruptive potential to transform patients' lives via innovations in pharmaceutical sciences, drug development, clinical trials, and manufacturing. However, it presents significant challenges, ethical concerns, and risks across sectors and societies. AI's rapid advancement has revealed regulatory gaps as existing public policies struggle to keep pace with the challenges posed by these emerging technologies.
View Article and Find Full Text PDFJ Clin Med
January 2025
Clinical Trial and Biostatistics, Research and Innovation Unit, University Hospital of Ferrara, 44124 Ferrara, Italy.
A machine learning prognostic mortality scoring system was developed to address challenges in patient selection for clinical trials within the Intensive Care Unit (ICU) environment. The algorithm incorporates Red blood cell Distribution Width (RDW) data and other demographic characteristics to predict ICU mortality alongside existing ICU mortality scoring systems like Simplified Acute Physiology Score (SAPS). The developed algorithm, defined as a Mixed-effects logistic Random Forest for binary data (MixRFb), integrates a Random Forest (RF) classification with a mixed-effects model for binary outcomes, accounting for repeated measurement data.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy. This review explores how AI's cutting-edge algorithms-ranging from deep learning to neuromorphic computing-are revolutionizing neuroscience by enabling the analysis of complex neural datasets, from neuroimaging and electrophysiology to genomic profiling. These advancements are transforming the early detection of neurological disorders, enhancing brain-computer interfaces, and driving personalized medicine, paving the way for more precise and adaptive treatments.
View Article and Find Full Text PDFAnimals (Basel)
January 2025
School of Biosciences and Veterinary Medicine, University of Camerino, Via Pontoni 5, 62032 Camerino, Italy.
Citizen science activities were performed using sheep as an animal model and involving 252 students aged between 9 and 11 years. The study focused on three pillars: hill/mountain landscape biodiversity, animal welfare and the social utility of research. Two types of tests-"attitude questionnaires" (AQs) and "maximum performance tests" (MPTs)-were administered.
View Article and Find Full Text PDFAnimals (Basel)
January 2025
English Literary Studies, School of Humanities, Arts and Social Sciences (HASS), University of New England, Armidale, NSW 2351, Australia.
This case study aims to problematise concepts of equine and human co-relational agency in the context of 'mis-re-presentations' in the Australian media of harms experienced by the Anglo Arab stallion, Cambridge, following his development of laminitis and his consequent confinement at a leading national Equestrian centre. Autoethnographic narrative is used to retrospectively and selectively narrate the evolving relationship between Cambridge and his owners, farrier, and treating veterinarians within the dominant housing and veterinary practices and welfare paradigms in equestrian culture of 1990's Australia. Structured author/owner autoethnographic vignettes are framed by newspaper and internet reportage to highlight a productive tension between the public mediation of the case, and what it means to be fully embodied in relationship with an equine companion agent within a particular, racialised, gendered, and biopoliticised location.
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