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Disclosure of interest: nothing to disclose Poster Session II - DIGITAL TRANSFORMATION, AI AND ROBOTICS 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE P909 - ESOC25-201 NEUROLOGICAL SIGNS IDENTIFIED BY AI RELATED TO STROKE PATIENT RECANALIZATION Sofa Vargas Ibarra 1 , Vincent Vigneron 1 , Nicolas Chausson 2 , Hichem Maaref 1 , Sonia Garcia 3 , Didier Smadja 2 , Yann Lhermitte 2 1 IBISC Laboratory, Evry University, Paris-Saclay, Evry-Courcouronnes, France, 2 Centre Hospitalier Sud Francilien, Corbeil-Essonnes, France, 3 SAMOVAR, Tlcom SudParis, Institut Polytechnique de Paris, Palaiseau, France Background and Aims: Thrombus dimensions are critical factors influencing early recanalisation following thrombolysis in stroke patients and the Susceptibility Vessel Sign (SVS), a ferromagnetic artefact, reflects the composition of the thrombus [1] (iron content and therefore red blood cell content)
Many patients experience improved digestion and reduced flare-ups
The proposed mechanisms of accelerated tissue repair and reduced inflammation could theoretically improve recovery times and functional outcomes
TB500 enhances cell movement and blood vessel formation, accelerating recovery and improving flexibility
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