About Neurodiagnoses
Neurodiagnoses is an AI-powered open-source framework designed to advance the diagnosis and prediction of central nervous system (CNS) disorders. The platform leverages cutting-edge machine learning techniques and integrates multi-modal data—including genetic, neuroimaging, neurophysiological, and biomarker datasets—to generate structured, explainable diagnostic outputs.
Three-Dimensional Diagnostic Model
- Etiology: Identifying genetic, environmental, and molecular contributors to disease.
- Pathophysiology: Analyzing molecular markers, pathways, and disease mechanisms.
- Neuroanatomoclinical Presentation: Utilizing neuroimaging, clinical symptoms, and physiological markers.
Technologies and Platforms
Neurodiagnoses integrates with:
- EBRAINS: High-performance computing and neuroimaging data repository.
- Clínica.run: Advanced neuroimaging processing.
- The Virtual Brain: Simulations for modeling brain dynamics.
Research Focus Areas
- CNS Digital Twins: Combining omics with neuroimaging and digital health records.
- AI-Driven Risk Stratification: Predicting disease progression and therapeutic response.
- Real-Time Clinical Decision Support: AI-based diagnostic aids for EHR systems.
Future Directions
Neurodiagnoses aims to extend into real-time clinical decision support systems, personalized medicine approaches, and automated analysis for continuous discovery in neuroscience research.
Get Involved
We welcome contributions from researchers, clinicians, AI developers, and data scientists. You can explore the project and contribute via:
GitHub Repository
eBrains Collaboratory
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