Personalized Bioactive Extract Generation System
Legal Citation
Summary of the Inventive Concept
A next-generation system that leverages machine learning, genetic profiling, and cloud-based databases to generate personalized bioactive extracts tailored to individual health needs, revolutionizing the field of medicinal fungal species-based compositions.
Background and Problem Solved
The original patent's composition and methods, although innovative, are limited by their one-size-fits-all approach. The present inventive concept addresses this limitation by introducing a personalized approach, recognizing that individual genetic profiles and health risks require customized bioactive extracts for optimal efficacy.
Detailed Description of the Inventive Concept
The system comprises a bioactive extract generator, a machine learning module, and a cloud-based database. The generator produces a personalized bioactive extract based on an individual's genetic profile, analyzed by the machine learning module to identify specific health risks. The system selects a medicinal fungal species, ferments it, and recommends a customized treatment plan. The composition includes a bioactive extract from a genetically engineered medicinal fungal species, designed to produce a specific combination of bioactive compounds tailored to an individual's health needs. A wearable device and cloud-based database enable continuous monitoring and adjustment of the treatment plan.
Novelty and Inventive Step
The inventive concept's novelty lies in its integration of machine learning, genetic profiling, and cloud-based databases to generate personalized bioactive extracts. The inventive step resides in the system's ability to analyze individual health data and recommend customized treatment plans, overcoming the limitations of traditional, non-personalized compositions.
Alternative Embodiments and Variations
Alternative embodiments may include mobile applications for health data tracking, integration with electronic health records, or the use of other types of machine learning algorithms. Variations may involve different types of medicinal fungal species, genetic engineering techniques, or wearable devices.
Potential Commercial Applications and Market
The personalized bioactive extract generation system has vast commercial potential in the pharmaceutical, nutraceutical, and wellness industries, targeting individuals seeking tailored health solutions. The system's ability to provide customized treatment plans and continuous monitoring can disrupt traditional healthcare models, offering a new paradigm for personalized medicine.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61K36/074 |
| A | A61 | A61K36/185 |
| A | A61 | A61K2236/333 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Biotechnology and medicinal fungal extract compositions, specifically focused on personalized health interventions involving bioactive compounds derived from fungal species
Person of Ordinary Skill (PHOSITA) Profile
A biotechnology researcher with expertise in fungal extract processing, genetic engineering, machine learning applications in personalized medicine, and advanced bioactive compound extraction techniques
Obviousness Rationale
A PHOSITA would recognize that integrating machine learning, genetic profiling, and personalized extract generation represents a predictable technological progression from existing medicinal fungal extract methodologies. The source patent's foundational work on fungal extract compositions provides a clear technical framework that naturally suggests personalization and advanced processing techniques. The PTD's variations represent incremental technological improvements that would be obvious to a skilled practitioner seeking to enhance therapeutic specificity and treatment effectiveness.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,587 |
|---|---|
| Title | Bioactive extract |