Accili D, Drago J, Lee EJ et al
Advanced glycation end products (AGEs) The content of AGEs was determined through spectrofluorometry
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)
Some have decades of research behind them
Therapeutic Dosing: Dietary sources: 500mg daily achievable through citrus fruits and vegetables AREDS2 formulation: 500mg daily (established therapeutic dose) Upper tolerance limit: 2000mg daily without adverse effects Vitamin E: The Fat-Soluble Guardian Unlike vitamins A and C, which are single compounds, vitamin E is a group of compounds called tocopherols and tocotrienols
The disruption compromises the structural integrity affecting the cells capacity for cell transport, energy production, and ion balance [87]