The GenNeuro Society Research Lab develops AI‑driven digital therapeutics that combine neurogenetic profiling with real‑time analysis of EEG, fNIRS, and wearable biosensor data to generate individualized biomarkers for mental health treatment. Its platform delivers adaptive neurofeedback and personalized therapeutic content via secure, cloud‑native APIs that integrate with EHR, telehealth, and other digital health systems while complying with emerging neurorights standards.
Funding
Funding not disclosed
Founders
Product
Problem
Current mental health care often relies on generic treatment protocols that do not account for individual neurobiological and genetic profiles, leading to suboptimal outcomes and limited scalability of personalized interventions. Additionally, the rapid emergence of neurotechnology raises concerns about data privacy, cognitive liberty, and the protection of neurorights.
Solution
The GenNeuro Society Research Lab (GNSRL) integrates neurogenetics, advanced AI analytics, and ethical governance to create data-driven digital therapeutics and neurofeedback applications. By mapping gene‑brain‑emotion pathways, the lab generates individualized biomarkers that inform adaptive treatment algorithms. AI models process multimodal neural recordings in real time, enabling closed‑loop neurofeedback and personalized therapeutic content delivered via mobile and web platforms. All data pipelines are built with end‑to‑end encryption and role‑based access controls, ensuring compliance with emerging neurorights standards. The resulting tools are designed for seamless integration into existing clinical workflows and digital health ecosystems, supporting evidence‑based, scalable mental health care.
Target Audience
Primary customers include mental health clinics, telepsychiatry providers, and digital health companies seeking AI‑enhanced, genomics‑informed therapeutic solutions, as well as academic and biotech research groups developing next‑generation neurotechnology. Policy makers and regulatory bodies also engage with GNSRL’s ethical frameworks to shape standards for responsible neurotech deployment.
Features
- High‑resolution neurogenetic profiling that links specific genetic variants to neural circuit dynamics and emotional regulation patterns
- Deep‑learning pipelines for real‑time analysis of EEG, fNIRS, and wearable biosensor streams, producing actionable therapeutic recommendations
- Adaptive neurofeedback application delivering personalized stimulus protocols based on continuously updated biomarker states
- Cloud‑native digital therapeutic platform with modular APIs for EHR, telehealth, and third‑party health app integration
- Comprehensive ethical framework and compliance toolkit addressing neurorights, data dignity, and cognitive liberty across jurisdictions
- Secure data architecture employing AES‑256 encryption, zero‑knowledge proof verification, and audit‑ready logging for regulatory reporting
- Open‑source SDKs (Python, JavaScript) enabling researchers and developers to extend AI models and embed neurotech components into custom solutions