Digital Front Door with AI‑Image Analysis & Risk Assessment
For Healthcare Providers, Pharma & CROs
Expedite diagnosis and reduce cost of care for developmental and genetic disorders.
Some services are currently available only in the US.
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HOSPITALS, CLINICS
AND ORGANIZATIONS
AI-POwered image analysis & risk assessment
Early Detection of Developmental
Issues & Genetic Disorders
- Digital front door and patient retention
- Decision support tools for diagnosis
- Care management tools for therapy
- Personalized therapy options
- Qualified CRO recruitment
10,000+ Medical Centers, Clinics and Hospitals
From early signs to treatment plans
Supporting the Patient’s Journey Every Step of the Way
Elevating Healthcare Expertise
Empowering Professionals with AI-based Decision Support and Patient Engagement Tools
Pediatric Specialists
A digital front door with advanced AI tools to aid in diagnosis and manage patient care
- AI-based decision support tools
- Patient qualification, engagement, and retention
- Care management tools
Some services are available only in the US
Genetic Specialists
Enhanced patient evaluation with next-generation phenotyping, and patient engagement tools
- Face2Gene platform
- Syndrome matches and professional knowledge base
- Qualified patient engagement
Some services are available only in the US
Health Services
Patient engagement with advanced AI tools to support diagnosis and care management
- Patient qualification, engagement, and retention
- AI-based decision support tools
- Care management tools
Some services are available only in the US
Pharma Companies
FDNA’s data clearing house offers streamlined connectivity between patients and pharma
- Customized therapy promotions
- Qualified patient acquisition and retention
- Accelerate research and discovery
Some services are available only in the US
CROs
FDNA offers CROs better access to qualified patients and healthcare providers
- Patient recruitment on demand
- Access to relevant providers and patients
- New clinical trial opportunities
Some services are available only in the US
Researchers
A wide range of AI tools and data assets tailored for medical researchers
- Facial phenotype comparison
- Discovery of syndrome phenotypes
- Clinical features quantification and distribution overview
Some services are available only in the US
Empowering Parents, Providers & Pharma Companies
Connecting Concerned Parents & Patients with Healthcare Providers, Pharma & CROs
Bringing medical care closer to where it IS needed
79%
of our users live in rural areas, potentially becoming your new patients
Our technology
AI-Powered Image Analysis & Risk Assessment
As the world leader in AI-powered image analysis to aid in diagnosing developmental & genetic disorders, and rare diseases, FDNA develops the most comprehensive database of relevant phenotypic information, crowdsourced from clinicians, patients, labs, and researchers. This real-world data, along with FDNA’s technologies, help expedite diagnosis and reduce the cost of care.
FDNA’s Multi-Modal Algorithm Framework
FDNA builds a trusted AI framework by integrating various algorithms and cross-referencing outcomes from multiple input modalities, such as image analysis, symptom assessment, natural language processing (NLP), video analysis, and voice analysis, we can achieve a heightened capability in detecting health signals and more robustly cross-validate identified health conditions.
Learn More About FDNA’s Multi-Modal Algorithm Frameworks
- Deep Gestalt®: An algorithm that maps images to potential syndromes.
- Gestalt Matcher™: An algorithm to discover new or rare syndromes, and for patient matching.
- Feature Extraction Algorithm: An algorithm that searches for facial characteristics using images and maps these characteristics to HPO terms.
- Heat Maps: Provides clinicians with intuitive, visual references for why the Deep Gestalt algorithm matched certain results.
- Focus Assessment: Guides the user through a post-image analysis assessment when the AI produces two or more high-confidence results. The assessment is utilized to diminish ambiguity between syndromes that exhibit similar dysmorphic signals.
- Feature Match™: Algorithm utilizing HPOs and syndrome atrophy models, mapped to numerical vectors and syndrome-to-HPO probability score.
- Clinical Notes Analyzer: An NLP algorithm designed to extract HPOs, biomarkers, and symptoms from health records and clinical notes. It supports both text and voice input.
- Symptom Assessment: Guides parents through an assessment of their child’s condition, behaviors, symptoms, and physical features and provides content and suggestions for specialist referrals. The assessment uses a statistical matching algorithm between the detected symptoms and potential health conditions.
- D-Score™: An algorithm that determines face dysmorphology in an image.
- A-Score™: An algorithm that seeks to identify facial characteristics in autistic syndromic and non-syndromic children. Syndromic children: with a diagnosed genetic condition with specific facial dysmorphology. Non-syndromic: no genetic condition described.
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