Yes, essentially, though you may create models of interactions etc., but the main idea is to extract information from various aspects of the cell.

As far as in silico, I think absolutely there are probably opportunities here. Generative models might be useful for some type of counterfactual (automated) reasoning with respect to disease course/treatment. I think we're in the relatively early days of collecting high resolution cellular data, so I think in silico approaches like this will be more and more relevant.