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Worldwide epidemiology of atrial fibrillation: a Global Burden of Disease 2010 study

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developing machine learning algorithms that dynamically adjust antioxidant infusion based on continuous clinical data could enable adaptive, personalized dosing, while federated learning models could predict patients at high risk for oxidative organ failure, facilitating pre-emptive intervention

Similarly, changes to blood flow throughout the body can affect perfusion of the organs

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