MediSynth

MediSynth aims to address the underuse of healthcare data due to privacy concerns by developing a Multi Modal Synthetic Data Ecosystem (MM SDE). Synthetic data, generated from original data, preserves patterns without revealing sensitive information, enabling secure sharing and improving data quality. The project will propose methods to generate realistic synthetic data and create a framework for evaluating its privacy, utility, and biases, supporting regulatory compliance. Focus areas include synthetic time series, text, audio, and multimodal data. Collaboration with end users will ensure alignment with the specific needs of the healthcare domain.