There is the rub. Biological simulations have been written for 40 years now. It's an extremely difficult problem considering how many latent variables are at play, and people have been working on it for a very long time now.
ML techniques will be used to cut that latent variable space in both quantum chemistry and molecular mechanics based methods.
In the early 2010s, I was an undergraduate electrical engineering student with type 1 diabetes playing around with such models by reprogramming stuff that had been presented in peer-reviewed journal articles. I eventually programmed a closed loop control system (also known as "Artificial Pancreas System") as a spring break project to inform my insulin dosages. Mostly, it was a soul-searching project as engineering school was physically enduring for me, as I have serious health problems. I had found a paper about a sliding mode control with respect to type 1 diabetes that looked solvable to me, but I did not know if it was actually solvable. I decided to see what I could do with it, and I was successful, in 2011 and barely old enough to legally drink!
Anyways, I can assure you that while research on control systems is drying up, including for physiological systems, that the excitement is just about to begin for what you mention, starting in about 5 years.