A hybrid nano-biosensor and data-driven intelligence framework for real-time glucose monitoring

Haixia Shi , Yaru Zhou , Lijun Zhang

Abstract

The process of managing diabetes requires continuous blood glucose level assessment through precise testing methods to achieve effective monitoring. The research presents a combined system which implements nano-biosensors and data-driven intelligence to deliver ongoing glucose level assessment and personalized therapy enhancement. The portable nano-biosensor system employs nanoscale enzymatic and electrochemical detection methods to track glucose level fluctuations while transmitting secured information to a cloud-based analytics system. The advanced machine learning models study temporal glucose data to predict future hyperglycemic and hypoglycemic events which deliver personalized insulin dosage recommendations and lifestyle improvement strategies to users. The system demonstrated high glucose detection performance through preliminary validation tests which maintained detection accuracy during regular daily activities. The combination of nanotechnology and predictive analytics creates a personalized diabetes management system which enhances patient compliance and safety while delivering better long-term health results. The appraisal on the basis of structured physiological and lifestyle data proved that the suggested framework produced credible glucose forecasting performance with high levels of feature association that preserve correlation coefficients between 0.5 and 0.8 in the important variables. The findings show better prediction stability and better personalization than the traditional glucose monitoring methodologies.

Key Words

continuous glucose monitoring; machine learning; nano-biosensor; predictive analytics; personalized diabetes management

Address

Haixia Shi — Department of Endocrinology, Tongliao People's Hospital, Tongliao, Inner Mongolia 028005, China
Yaru Zhou — Department of Endocrinology, The First People's Hospital of Keerqin District, Tongliao, Inner Mongolia 028000, China
Lijun Zhang — Department of Orthopedics, Tongliao Traditional Chinese Medicine Hospital, Tongliao, Inner Mongolia 028005, China

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