Aim: To describe the use of invasive mechanical ventilation core strategies, adjuvant treatments and the occurrence of barotrauma and prolonged ventilation in ICU patients with COVID-19 in Denmark, retrospectively.
Methods: All ICUs admitting COVID-19 patients in Denmark from 10 March 2020 to 2 April 2021 were invited to participate. All patients with COVID-19 who received invasive mechanical ventilation were included and data was retrospectively collected from electronic patient records.
Artificial Intelligence and Machine Learning (AI/ML) techniques, including reverse vaccinology and predictive models, have already been applied for developing vaccine candidates for COVID-19, HIV, and Hepatitis, streamlining the vaccine development lifecycle from discovery to deployment. The application of AI and ML technologies for improving heath interventions, including drug discovery and clinical development, are expanding across Africa, particularly in South Africa, Kenya, and Nigeria. Further initiatives are required however to expand AI/ML capabilities across the continent to ensure the development of a sustainable ecosystem including enhancing the requisite knowledge base, fostering collaboration between stakeholders, ensuring robust regulatory and ethical frameworks and investment in requisite infrastructure.
View Article and Find Full Text PDFObjective: To describe the clinical features and outcome of brain abscess since introduction of computerized tomography and magnetic resonance imaging.
Methods: MEDLINE and Embase were searched using "brain abscess" or "cerebral abscess" from 1970 through 2023 and analyses restricted to study populations hospitalized after 1980. Single-variable meta-analyses were done using a random-effects model.