Mid Thesis Report based on the file I provided

This session explores the growing role of synthetic data in medical AI, addressing privacy, utility, and bias challenges. It covers generative models, differential privacy techniques, and evaluation metrics. Preliminary findings include privacy risk frameworks and advances in bias mitigation, with future directions focusing on regulation alignment and practical workflow integration. The talk aims to highlight contributions towards effective synthetic data frameworks.