Grant: Project Grant

Bladder cancer comes in different types that can affect how it is treated and how new treatments are developed. We can use artificial intelligence (AI) to study digital images of bladder cancer tissue under a microscope. This helps us find new details that relate to how patients respond to treatment and their specific cancer characteristics. Our initial objective is to develop AI models capable of accurately diagnosing various subtypes of bladder cancer. This is crucial because an accurate diagnosis significantly influences patient treatment strategies. We will also use AI to group patients based on their cancer's appearance under the microscope. Then, in our second goal, we will look at how these different bladder cancer subtypes or patient groups respond to different treatments. This research could lead to the accurate diagnosis of bladder cancer subtypes and assist physicians in selecting the best treatment for each patient.