doi: 10.1093/eurheartj/ehv305
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 P901 - ESOC25-883 EXPLAINABLE MACHINE LEARNING-BASED PREDICTION OF GOOD FUNCTIONAL OUTCOME AFTER THROMBECTOMY FOR LARGE AND MEDIUM VESSEL OCCLUSION ISCHEMIC STROKE Michele Romoli 1 , Federica Sepe 2 , Francesco Cordici 1 , Sara Biguzzi 1 , Sebastiano Giacomozzi 1 , Elvis Lafe 1 , Delfina Ferrandi 3 , Ivan Gallesio 3 , Marco Longoni 1 , Federico Menetti 1 , Maria Ruggiero 1 , Giacomo Lancia 4 1 Department of Neurosciences, Bufalini Hospital, Cesena, Italy, Cesena, Italy, 2 IRCCS Mondino, Pavia, Italy, 3 Alessandria Hospital, Alessandria, Italy, 4 Universit La Sapienza, Roma, Italy Background and Aims: Despite largely used, ASPECT score has an insufficient accuracy in predicting the functional recovery after acute ischemic stroke and large inter-rater reliability

One treatment I often recommend is glutathione injections, which have gained significant traction due to their powerful antioxidant properties and support for various aspects of health
Removal from Category 2 is not the same as listing on 503A
The glutathione in avocados works by reducing oxidative stress in skin cells, preventing damage caused by environmental pollutants and UV exposure
Because you can