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non-affirm BPC-157 Raw Material | CAS 137525-51-0 | ≥99.9% Purity Volume:3ml 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) https://static.wixstatic.com/media/11ca2b_a74967c0259b46bf9b9b22536bc8e428~mv2.png/v1/fill/w_980,h_980,al_c,q_90,usm_0.66_1.00_0.01,enc_avif,quality_auto/11ca2b_a74967c0259b46bf9b9b22536bc8e428~mv2.png

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GHK-Cu
GHK-Cu

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