Longitudinal Intelligence Research
Healthcare memory, patient-owned AI systems, and disease-focused intelligence
Our longitudinal intelligence research builds the AI systems that transform fragmented healthcare data into actionable understanding. Beginning with sickle cell disease, we develop disease-focused intelligence platforms that unify patient data, biomedical knowledge, and clinical insights to improve outcomes and accelerate discovery.
Research Focus Areas
Red Cell Intelligence Engine
Unified platform combining biomedical knowledge graphs, patient data, and AI reasoning systems
- •Biomedical knowledge graphs
- •Longitudinal patient analytics
- •AI reasoning and insights
- •Predictive health models
Sickle Cell Research
Advanced analytics and prediction models for sickle cell disease management
- •Crisis prediction algorithms
- •Personalized treatment protocols
- •Genomic analysis integration
- •Quality of life metrics
Medical Imaging AI
Deep learning models for medical image analysis and interpretation
- •Automated diagnosis systems
- •Anomaly detection
- •3D reconstruction
- •Real-time analysis
Predictive Healthcare
Machine learning models for early disease detection and prevention
- •Disease progression modeling
- •Risk factor identification
- •Preventive care optimization
- •Population health management
Red Cell Systems: Healthcare Intelligence Platform
Unified Healthcare Intelligence
Red Cell Systems serves as the intelligence layer that unifies healthcare data across EHRs, lab results, clinical notes, wearable devices, and medical literature — providing personalized insights and longitudinal health analysis.