This project aims to enable early breast cancer detection by developing a smart, printed sensor foil that delivers real-time tactile sensing powered by AI-driven analysis.
The project focuses on the following core areas:
- Printed Sensor Foil Development: Design and fabrication of a flexible, lightweight, and biocompatible sensor matrix to detect tissue anomalies.
- Simulations & Modelling: Computational models to optimize sensor placement, pressure sensitivity, and data interpretation.
- AI-based Data Analysis: Machine learning algorithms for pattern recognition and anomaly detection to enhance diagnostic accuracy.