Personalized Medication Delivery Systems

A next-generation wearable insulin pump system that leverages machine learning, MEMS sensors, and artificial intelligence to optimize medication dosing, predict and prevent hypoglycemic events, and provide personalized recommendations for users.

The original patent's wearable insulin pumps have limitations in terms of dosing accuracy, user experience, and adaptability to real-time patient data. The new inventive concept addresses these limitations by integrating advanced technologies to create a more intelligent, adaptive, and user-centric medication delivery system.

The new system comprises a wearable insulin pump with a patch-style form factor, a machine learning module for predicting optimal medication dosages based on real-time patient data, a MEMS-based sensor for detecting blood glucose levels, and a neural network-based controller for predicting and preventing hypoglycemic events. The system analyzes real-time patient data and medication delivery patterns using artificial intelligence, identifies opportunities for optimization, and provides personalized recommendations for medication dosing and timing to the user's wearable insulin pump.

The new claims introduce the use of machine learning, MEMS sensors, and artificial intelligence in wearable insulin pumps, which is a significant departure from the original patent's mechanical and electrical components. The integration of these advanced technologies enables real-time adaptation to patient data, predictive analytics, and personalized medication delivery, making the new inventive concept novel and non-obvious.

Alternative embodiments may include using different types of sensors, such as optical or electrochemical sensors, or integrating the system with other health monitoring devices, such as continuous glucose monitors or fitness trackers. Variations may also include using different machine learning algorithms or neural network architectures to optimize medication dosing and prediction.

The new inventive concept has significant commercial potential in the diabetes management market, with potential applications in insulin pumps, continuous glucose monitors, and personalized health monitoring systems. The system's ability to optimize medication dosing, predict and prevent hypoglycemic events, and provide personalized recommendations makes it an attractive solution for patients, healthcare providers, and payers.