Innovative Approaches in Diabetes Management: Leveraging Technology for Improved Healthcare Outcomes
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Abstract
Diabetes is a global health challenge affecting millions, with significant implications for healthcare systems worldwide. Recent technological advancements offer innovative solutions to improve diabetes management and patient outcomes. This paper explores the integration of cutting-edge technologies such as artificial intelligence (AI), Internet of Things (IoT)-enabled devices, and personalized medicine in diabetes care. AI-driven models enhance early diagnosis, predict complications, and optimize treatment plans. IoT-enabled continuous glucose monitors (CGMs) and smart insulin pumps facilitate real-time monitoring and data sharing, empowering patients and healthcare providers. Personalized medicine, leveraging genetic and phenotypic data, enables tailored therapeutic approaches, while mobile health applications enhance patient engagement and self-management. Despite these advancements, challenges such as data security, accessibility, and cost remain. This study underscores the transformative potential of technology in diabetes management and highlights future directions for research and implementation to achieve equitable and effective care.
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References
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