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Supporting social justice through equity-based actions for a sustainable future in animal genetics (at the 39th International Society for Animal Genetics Conference).
Anim Genet
February 2025
College of Agriculture and Environmental Sciences, University of South Africa Science, Johannesburg, South Africa.
The 39th International Society for Animal Genetics conference (ISAG) was held for the first time in Africa under the theme 'Animal genetics for a sustainable future' in 2023. The conference convened scientists, policy makers, industry professionals, and students from interdisciplinary fields to share and discuss the latest developments in the space of animal genetics. Since its inception as a society, ISAG has sought to provide a platform advocating for a just and equitable future in animal genetics.
View Article and Find Full Text PDFTranslating PK-PD principles into improved methodology for clinical trials which compare intermittent with prolonged infusion of beta-lactam antibiotics.
Clin Infect Dis
January 2025
Professor of Medicine, Director, Institute for Therapeutic Innovation at University of Florida, Orlando, FL, USA.
Based on the fact that beta-lactam antibiotics demonstrate time-dependent killing, different dosing strategies have been implemented to increase the time that free (f) (unbound) antibiotic concentrations remain above the Minimal Inhibitory Concentration (MIC), including prolonged and continuous infusion. Multiple studies have been performed that compared continuous with traditional intermittent infusion to improve outcomes in patients with severe sepsis and/or septic shock. These studies have yielded inconsistent results for patients as measured by clinical response to treatment and mortality due to heterogeneity of included patients, pathogens, dosing strategies and the absence of Therapeutic Drug Monitoring (TDM).
View Article and Find Full Text PDFCoronary CT angiography-guided management of patients with stable chest pain: 10-year outcomes from the SCOT-HEART randomised controlled trial in Scotland.
Lancet
January 2025
British Heart Foundation Centre of Research Excellence, University of Edinburgh, Edinburgh, UK; Edinburgh Imaging, University of Edinburgh, Edinburgh, UK.
Background: The Scottish Computed Tomography of the Heart (SCOT-HEART) trial demonstrated that management guided by coronary CT angiography (CCTA) improved the diagnosis, management, and outcome of patients with stable chest pain. We aimed to assess whether CCTA-guided care results in sustained long-term improvements in management and outcomes.
Methods: SCOT-HEART was an open-label, multicentre, parallel group trial for which patients were recruited from 12 outpatient cardiology chest pain clinics across Scotland.
Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It.
Diagnostics (Basel)
January 2025
Aerospace Engineering Department and Interdisciplinary Research Center for Smart Mobility and Logistics, and Interdisciplinary Research Center Aviation and Space Exploration, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
Artificial intelligence (AI) has recently made unprecedented contributions in every walk of life, but it has not been able to work its way into diagnostic medicine and standard clinical practice yet. Although data scientists, researchers, and medical experts have been working in the direction of designing and developing computer aided diagnosis (CAD) tools to serve as assistants to doctors, their large-scale adoption and integration into the healthcare system still seems far-fetched. Diagnostic radiology is no exception.
View Article and Find Full Text PDFTransforming diagnosis through artificial intelligence.
NPJ Digit Med
January 2025
Clinical and Quality Analysis, Mass General Brigham, Somerville, MA, USA.
Artificial intelligence (AI) is increasingly permeating the fabric of medicine, but getting full benefits will likely require fundamental changes in practice. Accepting this will be challenging for many clinicians. However, it may be necessary to ensure that AI’s ambitious promises translate into real-life improvement.
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