Our Research on Parkinson's Disease Detection

At Neurosketch, we are committed to advancing the field of Parkinson's disease detection through cutting-edge AI and machine learning techniques. Our research focuses on leveraging AI to detect early signs of Parkinson's through image analysis, ensuring that individuals can get an accurate diagnosis from the comfort of their homes.

Key Areas of Research

Advanced AI Algorithms

Developing and refining machine learning models for more accurate and efficient diagnosis of neurological disorders.

Data Integration and Augmentation

Exploring methods to integrate various types of data (e.g., imaging, sensor data) and enhance datasets for better model training.

Wearable Technology

Integrating data from wearable devices to monitor symptoms and progression of neurological conditions in real-time.




Some Research Papers and Resources

Preview of Paper 1

Project Report

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Preview of Paper 2

Inforgraphic

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Preview of Paper 3

More to be Added Soon

We are continuously updating our resources. Stay tuned for more research papers and resources coming your way!