[DOI] [PMC free article] [PubMed] [Google Scholar] 247.Marinho HS
Use caution during treatment with semaglutide in patients with renal impairment or end-stage renal disease (renal failure)
ADE can be measured in several ways, including in vitro assays (which are most common for the first mechanism involving FcRIIa-mediated enhancement of infection in phagocytes), immunopathology or lung pathology
Selenium and the thyroid gland: more good news for clinicians
The key point is that homocysteine should not be interpreted in isolation
Disclosure of interest: NO Poster Session I - DIGITAL TRANSFORMATION, AI AND ROBOTICS 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE P308 - ESOC25-442 CLINICIAN PERSPECTIVES ON MACHINE LEARNING TOOLS FOR OUTCOME PREDICTION AND DECISION-MAKING IN INTRACEREBRAL HAEMORRHAGE Alexandra Hurden 1 , Menglu Ouyang, Leibo Liu 1,2 , Xiaoying Chen 1 , Craig Anderson 1 The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia, 2 Centre for Big Data Research in Health, Faculty of Medicine, University of New South Wales, Sydney, Australia Background and Aims: Machine learning (ML) tools hold promise in outcome prediction and assisting clinicians decision making for patients with acute intracerebral haemorrhage (ICH)
