A New Era for Rare Disease Diagnosis
Genorare leverages LLM, predictive analytics, and Fully Homomorphic Encryption to deliver fast, secure, and accurate insights while protecting patient privacy. With privacy at its core, Genorare ensures full GDPR and HIPAA compliance, allowing seamless adoption in hospitals, research institutions, and pharmaceutical companies.
Our mission is simple: shorten the diagnostic journey and give patients the answers they deserve—faster and more securely. Because at Genorare, every patient counts.
Note: Descriptive phrase that serves as title and description. Adapted from EURORDIS.
At Genorare, we are dedicated to transforming the way rare diseases are diagnosed by leveraging predictive intelligence, genomic data, and privacy-first technology. Our platform seamlessly integrates machine learning, Fully Homomorphic Encryption (FHE), and real-time Electronic Health Record (EHR) analysis to provide faster, more accurate, and secure diagnoses for patients worldwide.
By prioritizing speed, accuracy, and security, Genorare is redefining the future of rare disease diagnostics—because at Genorare, every patient counts.
Real-Time Diagnosis Support
Our advanced predictive intelligence analyzes genomic & EHR data to assist doctors in identifying rare diseases earlier.
Privacy-First AI – Using FHE & blockchain, Genorare analyzes encrypted data without ever exposing raw patient information, ensuring GDPR & HIPAA compliance.
Seamless EHR & Genomics Integration
Works within existing hospital systems for automated, background analysis without disrupting workflows.
Clinical Trial Matching
Connects rare disease patients with pharma & biotech trials, accelerating orphan drug development.
Patient-Doctor Matching
Helps patients find specialized care faster, reducing the diagnostic odyssey. It also enables doctors to collaborate, solving the puzzle of rare diseases together and uncovering the right diagnosis through shared expertise.
Secure Data Collection & Encryption
- Patients' genomic data, EHR (Electronic Health Records), and lab data are collected.
- Each patient is assigned a public-private key pair for encryption.
- Data is encrypted before leaving the source to ensure privacy.
Privacy-Preserving Computation
- Encrypted data is stored in the cloud and processed using homomorphic encryption, allowing computations without decryption.
- The system leverages the Human Phenotype Ontology (HPO) database and scientific literature to detect patterns.
- NLP (Natural Language Processing) models analyze medical records while the data remains encrypted.
Personalized Insights & Decryption
- Computed results remain encrypted and are securely sent to the doctor.
- The doctor, using the patient’s private key, decrypts the results.
- The system provides risk scores (R-values) and actionable insights, helping doctors make informed clinical decisions.
Introducing our team of dedicated professionals driving innovation at Genorare.
Our Trusted Partners
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