Artificial Intelligence-Assisted Nanotechnology for Personalized Management of Obesity and Diabetes

Irakoze Mukamana S.

 

School of Applied Health Sciences Kampala International University Uganda

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.

Keywords: artificial intelligence, nanotechnology, personalized medicine, obesity, diabetes, targeted therapy

 

CITE AS: Irakoze Mukamana S. (2026). Artificial Intelligence-Assisted Nanotechnology for Personalized Management of Obesity and Diabetes. IDOSR JOURNAL OF BIOLOGY, CHEMISTRY AND PHARMACY 11(1):22-27. https://doi.org/10.59298/IDOSR/JBCP/26/102.2227