High-fidelity simulations to reduce the number of failed trials.
Simulations are already used in the early-stage drug development process and they're useful to reduce the number of substances that move on to animal trials. If you build a better one then you can make a fortune. But we are at least decades away from being able to accurately simulate the complex interactions in a human body. And I doubt that simulations will ever be useful for writing something like a clinical practice guideline for prescribing statins; that type of knowledge can only be gained by conducting human trials to see what works in the real world. Engineers accustomed to working with machines and electronics generally don't understand how messy biological research can get.