AI can now build virtual patients for heart research, cutting costs

AI models can now quickly and accurately predict blood flow and estimate heart parameters. This makes it much cheaper and faster to create virtual patient groups for drug testing or medical device design.

Drug companies and medical device makers need to test new products on many different patient types. Building these virtual patient groups used to be slow and expensive, often yielding unrealistic results. This new method means they can quickly generate accurate virtual patients, speeding up research and development.