SupraScan – AI-Powered Early Detection of PSP

Revolutionizing neurodegenerative diagnostics with advanced AI technology for early detection of Progressive Supranuclear Palsy.

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The Problem

Progressive Supranuclear Palsy (PSP) is a rare neurodegenerative disorder that affects movement, balance, speech, and vision. It's often misdiagnosed due to overlapping symptoms with Parkinson's disease and Alzheimer's disease.

Early detection is crucial for effective management and potential treatment, but current diagnostic methods often identify PSP only after significant symptom progression.

The challenge lies in identifying subtle biomarkers in brain imaging that can indicate PSP before clinical symptoms become apparent.

Our Solution

SupraScan leverages advanced 3D Convolutional Neural Networks to analyze PET/MRI brain scans and detect early biomarkers of PSP.

Our AI model has been trained on thousands of brain scans to identify subtle patterns and changes that may indicate the presence of PSP, even before symptoms become clinically apparent.

The goal is to provide clinicians with a powerful diagnostic tool that can identify PSP at its earliest stages, enabling earlier intervention and better patient outcomes.

Interactive Demo

Experience how SupraScan analyzes brain scans to detect PSP biomarkers

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Tech Stack

Python

Core programming language for model development and data processing

PyTorch

Deep learning framework for building and training neural networks

Streamlit

Web application framework for creating interactive data applications

3D CNNs

Three-dimensional convolutional neural networks for volumetric data analysis

PET/MRI Analysis

Specialized tools for processing and analyzing medical imaging data

Meet the Founder

Arish Shahab

Biomedical Engineering @ McMaster University

Researcher at Harvard Medical School, Hamilton Health Sciences, and University of Waterloo. Founder of SupraScan, a mission-driven platform transforming neurodegenerative diagnostics with AI.