I would argue we can't even model those things. Non-linear, dynamic systems are not predictable beyond a certain point even if you have a perfect model. Uncertainty with models of dynamic systems like biological ones, increases exponentially as a function of time. And they are highly sensitive to initial conditions, so if your input is off from reality by even the tiniest amount, reality will veer off dramatically from your expected results, even if you have the perfect model. Chaos theory is a thing. We can use models to learn about systems and how they might work, or how we might think they work, but we can't use them to model reality effectively enough to determine treatments.