A tumor in the kidney grows like a weed that has learned to hide from the gardener. The immune system, that very gardener, simply doesn't notice it. Doctors try different drugs, but each person's disease behaves differently.
The authors made a computer replica of this battle. They gathered data from real patients with advanced kidney cancer and built virtual patients: each with their own tumor and immune system. Then they tested a combination of two drugs on these replicas: one prevents the tumor from building new blood vessels, the other takes the brakes off the immune system.
The result is not just a formula but a tool. A doctor can enter a patient's data, and the program will suggest which drug to give that specific person. That way, you stop spraying the weed with poison blindly: you pull it out precisely.
The virtual patients in this study were created from real tumor samples, so each computer patient had its own 'biography' of the disease.
The idea of a 'digital twin' of a person, on whom treatment is tested before the actual drug is taken, resembles simulations from 'The Matrix,' but now in oncology.