Scheduling study of vascular robot ordering and biological learning based on mixed integer programming model

With the development of microelectromechanical systems, humans have been able to process vascular robots, which can carry drugs into the blood vessels for targeted treatment of vascular-related diseases, and also act as vascular scavengers to remove viruses and keep the body healthy [1]. As a result, vascular robots are receiving increasing attention. However, since vascular robots must be maintained after a certain period of use, hospitals must consider how to purchase and use vascular robots appropriately.