I actually use them for a special cause. I use them for solving for the specific parameters that make each type 1 diabetes patient individual and unique. Once the parameters are solved for, we can make a "virtual patient" and do simulations of the patients, and we can do further optimizations and fine tuning.

We also use the parameters for artificial pancreas systems, in order to give personalized and optimized insulin dosages for each patient, using those same exact parameters. In this case, we use a controller (model predictive control) and plug in the individualized parameters into the controller interface for each individual patient. The system is interfaced with a mobile device, an insulin pump, and a continuous glucose monitor. The mobile device sends data from the insulin pump and continuous glucose monitor to the controller (input) and retrieves data from the controller (output) via the mobile device. Via the output, commands are issued to the insulin pump regarding insulin dosing.

SDEs are the underpinning of most modern mathematical finance models; they're the underlying concept behind the Black–Scholes model for option pricing.