Personalized Skin Therapy and Neurogenic Inflammation Management System

A comprehensive system for personalized skin therapy and neurogenic inflammation management, leveraging machine learning, metagenomics, and wearable devices to provide tailored treatments and real-time monitoring.

The original patent disclosed a novel bacterial extract for treating sensitive skin, but it had limitations in terms of personalized treatment and real-time monitoring. The new inventive concept addresses these limitations by introducing a system that integrates machine learning, metagenomics, and wearable devices to provide a more effective and personalized approach to skin therapy and neurogenic inflammation management.

The system comprises a bacterial extract from a non-pathogenic Gram-negative bacterium belonging to the class Betaproteobacteria, subfamily Neisseriaceae, and a neural network-based algorithm for predicting individual skin responses to said extract. The system also includes a wearable device for real-time monitoring of skin neurogenic inflammation, which transmits data to a cloud-based server for analysis and recommendation of a personalized treatment regimen. Furthermore, the system incorporates a composition of matter comprising a novel bacterial strain engineered to produce a specific neurogenic inflammation-modulating compound. The cloud-based platform for crowdsourced skin health data enables users to upload their skin health metrics and receive personalized recommendations for treating cutaneous neurogenic inflammation based on machine learning-driven analysis of aggregated data.

The new claims introduce a paradigm shift in skin therapy and neurogenic inflammation management by integrating machine learning, metagenomics, and wearable devices. The inventive concept's novelty lies in the combination of these technologies to provide a personalized and real-time approach to skin health management, which is not obvious from the original patent.

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, wearable devices with varying sensor configurations, or the integration of additional data sources such as environmental or lifestyle factors. Variations of the system could also be developed for specific skin conditions or demographics.

The inventive concept has significant commercial potential in the skincare and pharmaceutical industries, with a target market of individuals seeking personalized and effective solutions for skin health management. The system's ability to provide real-time monitoring and tailored treatments could revolutionize the way skin conditions are managed, offering a competitive advantage in the market.