Multimodal fusion model for mental illness prediction
Integrating multimodal datasets to enhance mental health diagnostics and treatment through advanced AI.
Innovative multimodal health data integration
We integrate NIH-MH datasets with wearable data, utilizing advanced AI to enhance mental health diagnostics and treatment through real-time analysis and federated learning across healthcare institutions.
Transforming mental health through innovation.
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Innovative Health Solutions
Integrating multimodal data for advanced clinical insights and real-time patient monitoring through AI technologies.
Dynamic Fusion Model
Utilizing fMRI, speech, and behavior data with real-time biometrics for enhanced diagnostic accuracy.
Causal Mapping Engine
Combining Granger causality and counterfactual reasoning to effectively map complex symptom networks in patients.
Federated Learning Approach
Secure, encrypted training across hospitals to detect data drift and improve model reliability.
Innovative Solutions
Integrating multimodal data for advanced mental health insights.
Dynamic Fusion
Real-time biometrics enhance data integration and analysis.
Causal Engine
Mapping symptom networks through advanced causal reasoning techniques.