
Genorare
AI-powered rare disease diagnosis leveraging LLMs, FHE, and real-time EHR analysis for rapid, secure, and precise patient insights.
Date | Investors | Amount | Round |
---|---|---|---|
* | N/A | Seed | |
Total Funding | 000k |
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Genorare is focused on accelerating the diagnostic process for rare diseases, a field where patients can face an average diagnostic journey of up to seven years.
The firm employs a sophisticated platform that combines artificial intelligence, including large language models and predictive analytics, with real-time Electronic Health Record (EHR) connectivity and advanced privacy-preserving encryption.
Central to its operations is Fully Homomorphic Encryption (FHE), which allows for computations on encrypted data, ensuring patient information remains confidential throughout the analytical process.
Genorare's system collects and processes diverse patient data, such as genomic profiles, EHRs, and laboratory results; this data is encrypted at the source and remains so during cloud storage and analysis. Natural Language Processing models are utilized to analyze medical records while maintaining data encryption.
The platform is engineered for compliance with stringent data protection regulations like GDPR and HIPAA, facilitating its integration within hospitals, research institutions, and pharmaceutical companies. These entities represent Genorare's primary clientele, who would typically pay for access to or use of the platform's diagnostic capabilities.
By providing these organizations with tools for faster, more accurate, and secure diagnostic insights, Genorare aims to significantly shorten the path to diagnosis for patients worldwide. Encrypted computational results are securely delivered to physicians, who are equipped with private keys for decryption, ensuring that sensitive patient information is handled with utmost security.
The team's background includes 20 years of experience in venture building, start-up coaching, and innovation management, providing a strong foundation for addressing these complex healthcare challenges.
Genorare's approach is designed to redefine rare disease diagnostics by prioritizing speed, accuracy, and robust security measures.
Keywords: Rare Disease Diagnosis, Artificial Intelligence, Fully Homomorphic Encryption, EHR Integration, Predictive Analytics, Patient Privacy, GDPR Compliance, HIPAA Compliance, Genomic Data Analysis, HealthTech AI