Transforming Healthcare with Synthetic Data: Use Cases in Key Disease Domains
SYNTHIA is built around six high-impact use cases that showcase how synthetic data can safely and effectively accelerate innovation in healthcare.
Our use cases focus on critical disease areas such as lung cancer, breast cancer, multiple myeloma, diffuse large B-cell lymphoma, Alzheimer’s disease, and type 2 diabetes. Each provides a unique clinical setting to evaluate and validate synthetic data generation methods, ensuring they meet real-world needs for quality, privacy, and usability.
Together, these use cases are essential to demonstrating the value of synthetic data for advancing research, improving patient outcomes, and supporting evidence-based decision-making across the health ecosystem.
