Two important monitoring and control topics in critical care are discussed. A multiple-model predictive control approach is used to regulate blood pressure and cardiac output by manipulating the infusion rate of two drugs. Depth of anesthesia is estimated by integrating the complexity, regularity, and spectral entropy information of EEG using an adaptive network based fuzzy inference system (ANFIS). Results based on animal experiments are presented.