Personalized Parameter Modeling with Synergistic Combinations

The invention integrates personalized parameter modeling with distinct technologies such as AI, IoT, blockchain, and new materials to create a more powerful and secure system for therapy management.

The original patent, 'Personalized parameter modeling methods and related devices and systems', provided a foundation for personalized therapy management. However, the system had limitations in terms of data security, predictive analytics, and integration with other technologies. The new inventive concept addresses these limitations by incorporating synergistic combinations of AI, IoT, blockchain, and new materials to enhance the system's capabilities and security.

The new system integrates a machine learning module with a sensing device to obtain current operational context information and historical operational context information. A blockchain-based secure data storage stores the historical operational context information and expected calibration factor models. An IoT-enabled infusion device receives calibrated measurement values and delivers fluid to the body of the patient. The system also incorporates AI-powered predictive analytics to determine expected calibration factor models and expected offset values. Additionally, the system utilizes new materials to enhance the sensing device's performance. The machine learning module updates the personalized parameter models based on new data, ensuring continuous improvement.

The new claims introduce the integration of AI, IoT, blockchain, and new materials with personalized parameter modeling, providing a novel and non-obvious solution. The inventive step lies in the synergistic combination of these technologies to create a more powerful and secure system for therapy management.

Alternative embodiments may include different machine learning algorithms, various IoT-enabled devices, or different blockchain-based data storage solutions. Variations may also include integrating the system with other technologies such as cloud computing or 5G networks.

The inventive concept has significant commercial potential in the healthcare industry, particularly in the fields of diabetes management, personalized medicine, and therapy management. The system's enhanced capabilities and security features make it an attractive solution for patients, healthcare providers, and pharmaceutical companies.