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)
Uszkodzenia chrzstki prowadz do chorb zwyrodnieniowych staww, blu oraz ograniczenia mobilnoci
BPC-157 does not have Health Canada approval for human therapeutic use
Methylcobalamin For Sleep: Frequent difficulties falling asleep within a reasonable timeframe, typically taking longer than 30 minutes, might be an indicator of a potential Vitamin B12 deficiency
The NNMT enzyme it inhibits is constitutively expressed in adipose tissue and liver, meaning timing relative to meals is less critical than consistency
Marissa Liza: If anything, I probably
