SynapSeek provides a clinical data platform that integrates six neurological data streams—imaging, blood biomarkers, genetics, wearables, and more—into a single intelligence system for NeuroAI applications. By fusing these modalities, the platform enables pre‑symptomatic diagnosis up to 7–10 years earlier than standard methods and tracks patients across the full care pathway, delivering longitudinal datasets for advanced neurology research.
Funding
Funding not disclosed
Founders
Product
Problem
Neurological diseases are typically diagnosed 6–8 years after onset, by which time irreversible damage has occurred. Existing clinical tools—MRI, cognitive tests, and single biomarker assays—operate in isolation and miss the early multimodal signals that precede structural changes.
Solution
SynapSeek provides a clinical data platform that simultaneously integrates six complementary data streams—imaging, blood biomarkers, genetics, and real-time wearable monitoring—into a unified NeuroAI intelligence system. By fusing these modalities, the platform generates predictive models capable of identifying neurodegenerative conditions up to a decade before conventional methods detect them. The system continuously tracks the full care pathway, creating longitudinal datasets that support both individualized patient management and large‑scale neurology research. Clinicians receive AI‑driven risk scores and visualizations through a secure dashboard, enabling earlier interventions and more precise treatment planning.
Target Audience
Primary users are neurologists, neuro‑oncologists, and specialty clinics seeking earlier diagnosis and continuous monitoring of neurodegenerative diseases, as well as academic and pharmaceutical research groups requiring comprehensive longitudinal datasets.
Features
- Simultaneous ingestion and harmonization of six clinical data modalities (MRI, PET, blood biomarkers, genomic panels, wearable sensor streams, and cognitive assessments)
- NeuroAI engine that applies multimodal machine learning to produce pre‑symptomatic risk predictions up to 10 years in advance
- Real‑time monitoring of wearable-derived physiological signals for dynamic disease progression tracking
- Automated longitudinal data repository that captures the entire patient care journey for research and outcome analysis
- Secure, HIPAA‑compliant cloud infrastructure with role‑based access and audit trails for clinicians and researchers
- Integrated visualization dashboard presenting risk scores, modality contributions, and care pathway milestones