Products
How does it work?
Danny Decision Support for Rare Disease empowers clinical teams to detect eligible patients earlier — without changing their existing systems.
Step 1
Structured FoundationWorks on top of structured datasets from Danny DataStruct — no integration with EHRs required
Step 2
Embedded AI AlgorithmsProprietary LLMs perform deep search across vast volumes of unstructured clinical notes to detect early indicators of rare conditions.
Step 3
Digital Pre-ScreeningFlags potentially eligible patients and enables clinicians to proceed with de-anonymization and clinical evaluation under institutional protocols.
Products
Use Cases
Detect potential rare disease patients earlier and with greater confidence
Identify potential rare disease patients sooner and with greater confidence through data-driven insights.
Review only structured and anonymized data, reducing manual burden
Review only structured and anonymized data, minimizing manual screening and administrative effort.
Support clinical decisions with AI-powered assistance
Enhance clinical evaluation with AI-powered assistance that highlights relevant patterns and indicators in patient records.
Access rare disease insights from fully anonymized hospital populations
Gain real-world visibility into rare disease patterns through fully anonymized hospital data.
Strengthen trial recruitment strategies with structured cohorts
Identify high-potential patient groups and optimize rare disease trial recruitment using structured cohort analysis
Enable epidemiological analysis while maintaining strict privacy standards
Conduct compliant, population-level studies with anonymized datasets that protect patient privacy.
Products
Features
Fully anonymized data
Operates entirely on anonymized patient information to ensure privacy and regulatory compliance.
Daily cohort updates
Refreshes potential patient cohorts every day to reflect the latest clinical data.
Real-time notifications
Instantly alerts clinical teams to newly identified or high-risk cases.
Automated search and filtering
Scans structured and unstructured records to surface relevant rare disease indicators automatically.
Assessment
workflows
Supports clinician-led validation and next-step evaluation within secure review processes.
Cloud-based deployment
Delivers scalable performance and secure access across institutions and countries.
Benefits
Benefits
Faster Time to Suspicion
Shortens the diagnostic journey by detecting rare disease patterns earlier in the patient pathway.
Works with Existing Data
No EHR integration required — leverages already-structured datasets hospitals own.
Specialist-Grade AI
LLM algorithms trained on rare and oncology-specific documentation — capable of parsing subtle clinical indicators.
Built for Hospital Use
Anonymized search ensures patient privacy, with de-anonymization only under clinical governance.
Experience Danny DecisionSupport and its benefits for your organization
Oncology Medial Records
AI Models Accuracy
Languages
Products
Proven Impact
Danny Decision Support for Rare Disease has already been applied in screening projects across multiple conditions, including:
Pompe Disease
Transthyretin Amyloid Polyneuropathy (TTR)
Fabry Disease
Gaucher Disease
Pompe Disease
Transthyretin Amyloid Polyneuropathy (TTR)
Fabry Disease
Pompe Disease
Lysosomal Acid Lipase Deficiency (LAL-D)
Hypophosphatasia (HPP)
Paroxysmal Nocturnal Hemoglobinuria (PNH)
Lysosomal Acid Lipase Deficiency (LAL-D)
Hypophosphatasia (HPP)
Paroxysmal Nocturnal Hemoglobinuria (PNH)
Security
Security & Compliance
Built on Anonymized Data
- Operates entirely on anonymized datasets structured via Danny DataStruct — no PII accessed during screening.
No Integration Needed
- Runs independently from hospital EHR systems — reducing IT burden and ensuring secure deployment.
Fully GDPR-Compliant
- Adheres to EU regulations for data privacy and healthcare-specific protections.
Controlled De-anonymization
- Patient identities remain protected until flagged cases are reviewed and unlocked by authorized clinical personnel.
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