Parkinson's...
Utilizing Deep Learning and 28-point Signal Analysis to predict the onset of Parkinson's Disease with high precision.
Understanding the Invisible
Parkinson's Disease is a progressive nervous system disorder. By the time tremors appear, significant neural damage has occurred. Our AI looks deeper.
The Dopamine Deficit
Parkinson's is caused by the death of dopamine-producing neurons in the Substantia Nigra. This chemical messenger is vital for controlled movement. Our model detects subtle signal irregularities caused by this deficit.
Signal Biomarkers
We analyze complex features like Pitch Period Entropy (PPE), recurrence period density (R PDE), and specific frequency formants that change subtly in the early stages of neurodegeneration.
AI Precision
Using a custom Neural Network with dropout regularization, trained on clinical datasets, we can classify subjects with high accuracy based on inputs that are invisible to the naked eye.
Million People Affected Globally
Distinct Biomarkers Analyzed
% Validation Accuracy
Run AI Model
Enter the 28 extracted signal features below. The data will be processed by our PyTorch-based Neural Network.
Architects
Adolf Lobowicz
Co-Founder
Built the immersive web experience, backend API integration, and interactive 3D visualizations.
Akriti Srivastava
Co-Founder
Designed the Neural Network architecture, performed feature engineering on the dataset, and optimized model accuracy.
CONTACT_US
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