Abstract: Personalized treatment plan generation from an inference engine of a system. The system may receive or retrieve data from a plurality of sources and parse the data to generate individual data fields defining characteristics of a patient. The inference engine may process the contents of the individual data fields in relation to rule blocks suggesting certain treatment actions and combinations thereof in response to satisfied conditions. The inference engine may implement machine learning to refine rule blocks and improve functioning of the system to optimize healthcare.