Biological processes continuously adapt in response to intervention. Unlike static predictive models, biomedical world models support action-conditioned simulations for counterfactual reasoning, intervention design, and sequential planning. This perspective defines the key properties of biomedical world models and discusses the data, modeling, and evaluation challenges required to build them across biological and clinical scales.