For generations, the search for cancer treatments has been measured in years lost and billions spent, with patients bearing the weight of therapies that often fail to account for the singular biology of their disease. Now, artificial intelligence is entering the laboratory and the clinic, offering researchers the capacity to hold thousands of molecular variables in mind simultaneously — predicting how engineered nanoparticles will behave inside a human body before a single experiment is run. The promise is not merely efficiency, but a fundamental shift toward medicine that listens to the indiv