Abstract

Obesity and diabetes are two of the most prevalent chronic metabolic diseases worldwide, often co-occurring 
and contributing to significant healthcare burdens. Traditional approaches for managing these diseases are 
typically based on standardized treatment regimens, which may not be effective for all individuals due to the 
heterogeneous nature of these conditions. The combination of artificial intelligence (AI) and nanotechnology 
offers a transformative approach to personalize the management of obesity and diabetes. AI can analyze vast 
amounts of patient data to predict disease progression and optimize treatment strategies, while nanotechnology 
enables targeted drug delivery, enhanced bioavailability, and precise therapeutic interventions. This review 
explores the integration of AI and nanotechnology in the personalized management of obesity and diabetes, 
discussing the potential mechanisms, applications, and challenges associated with this innovative approach. We 
also address the future prospects of AI-assisted nanotechnology for advancing personalized healthcare in 
metabolic diseases.