This project aims to improve healthcare by harnessing the potential of health data and artificial intelligence. We develop machine learning based methods that allow secure and private analysis of health information from multiple sources, such as medical records, wearable devices, and medical images. This will support doctors in making well-informed decisions for preventive care, early diagnosis, and personalized medicine. Our approach focuses on three key aspects: creating efficient algorithms to handle diverse health data, ensuring security and privacy through advanced techniques, and testing our methods on real-world cases, specifically cardiovascular diseases.

2024

2026