Intelligent Mental Health Diagnosis Platform with Synergistic Technologies

Publication ID: 24-11857322_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Mental Health Diagnosis Platform with Synergistic Technologies,” Published Technical Disclosure No. 24-11857322_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857322_0003_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,322.

Summary of the Inventive Concept

A novel system that integrates a mental health diagnosis platform with advanced technologies such as blockchain, artificial intelligence, IoT sensors, and wearable devices to provide accurate, secure, and real-time diagnoses for neuropsychiatric diseases.

Background and Problem Solved

The original patent disclosed a system for screening, diagnosing, and stratifying patients relating to neuropsychiatric diseases. However, the patent's limitations included the lack of integration with other technologies, limited data sources, and potential security risks. The new inventive concept addresses these limitations by leveraging synergistic combinations of distinct technologies to create a more powerful and comprehensive system.

Detailed Description of the Inventive Concept

The system comprises a mental health diagnosis platform that integrates with a blockchain-based electronic health record system, enabling secure and transparent access to patient data. The platform also utilizes artificial intelligence to analyze medical imaging data and generate diagnoses. Additionally, IoT sensors and wearable devices collect patient data in real-time, providing a more comprehensive picture of the patient's mental health. The system's modular architecture allows for seamless integration with other technologies, such as natural language processing and machine learning algorithms, to further enhance the diagnosis process.

Novelty and Inventive Step

The new claims introduce novel combinations of technologies that significantly improve the accuracy, security, and efficiency of mental health diagnoses. The integration of blockchain, AI, IoT sensors, and wearable devices with the mental health diagnosis platform provides a non-obvious solution to the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating the mental health diagnosis platform with other technologies, such as virtual or augmented reality, to provide immersive and interactive diagnostic experiences. Variations could also include adapting the system for use in different settings, such as clinics, hospitals, or telemedicine platforms.

Potential Commercial Applications and Market

The intelligent mental health diagnosis platform has significant commercial potential in the healthcare industry, particularly in the areas of neuropsychiatric disease diagnosis and treatment. The system's ability to provide accurate, secure, and real-time diagnoses could lead to improved patient outcomes, reduced healthcare costs, and increased market share for healthcare providers and technology companies.

Field of Art

Mental health diagnostics, medical informatics, and computational healthcare technologies involving machine learning, data analysis, and patient screening systems

Person of Ordinary Skill (PHOSITA) Profile

A professional with expertise in computer science, medical informatics, or biomedical engineering, possessing advanced knowledge of machine learning algorithms, diagnostic systems, and healthcare technology integration

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's disclosed variations represent predictable technological extensions of the source patent's core diagnostic methodology. The source patent establishes a foundational framework for mental health screening using computational techniques, which naturally invites integration with emerging technologies like blockchain, IoT, and AI. These technological combinations represent logical progressions that would be apparent to a skilled practitioner seeking to enhance diagnostic accuracy and data management.

Obvious Combinations & Variations

Source Patent Element
Machine executable code for performing mental health diagnostic methods using Bayesian Decision Lists
PTD Variation
Integrating blockchain-based electronic health record systems with the diagnostic platform
Obviousness Reasoning
A PHOSITA would recognize blockchain as a known secure data management technique that naturally extends computational diagnostic systems, providing enhanced data integrity and patient privacy
Source Patent Element
System for processing input features including cognitive task outcome measures
PTD Variation
Using IoT sensors and wearable devices to collect real-time patient data as additional input features
Obviousness Reasoning
Expanding input sources represents a predictable design choice for improving diagnostic comprehensiveness, using well-established sensor and data collection technologies
Source Patent Element
Control system configured to determine mental health conditions using computational methods
PTD Variation
Applying artificial intelligence and machine learning algorithms to analyze medical imaging data for diagnosis
Obviousness Reasoning
Machine learning represents a known technique for enhancing diagnostic accuracy, particularly in pattern recognition tasks involving medical data interpretation
Source Patent Element
System for processing multiple input features to evaluate mental health conditions
PTD Variation
Integrating natural language processing to analyze patient-provided textual data as diagnostic input
Obviousness Reasoning
Expanding computational diagnostic techniques to include natural language analysis is a predictable evolution in medical informatics, representing a finite and obvious technological solution
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857322 and the published technical disclosure, a person of ordinary skill in the art would find the claimed technological variations obvious, as they represent predictable combinations of known diagnostic techniques with emerging healthcare technologies, thereby rendering subsequent claims of novelty invalid under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,322
TitleSystems and methods for screening, diagnosing, and stratifying patients
Assignee(s)Neumora Therapeutics, Inc.