Molecular Dynamics Simulations

At CAIMIF, we explore the powerful capabilities of Generative Adversarial Networks to create highly realistic synthetic data. Molecular Dynamics Simulations are applied in generating medical images for training AI systems when real data is scarce, helping in disease detection model development. They also aid in image enhancement, restoration, and anonymization to protect patient privacy. Molecular Dynamics Simulations are applied in generating medical images for training AI systems when real data is scarce, helping in disease detection model development.