Abstract: Disclosed herein are phytomedicine analytics for research optimization at scale (PhAROS) methods for discovering and/or optimizing polypharmaceutical medicines, the PhAROS method comprising: analyzing, in a single computational space, data from a plurality of traditional medicine systems (TMS), wherein the analysis uses transcultural dictionaries to allow searches within distinct TMS data sets embodying different epistemologies and terminologies, Wherein the analysis uses data returned by a query to identify new polypharmaceutical and/or optimized polypharmaceutical compositions.

Abstract: A method may include receiving a data stream of complex data and receiving a type of a simulated organic life model and a type of a simulated environment. The method may include selecting a scenario for a simulation, parsing each variable in the data stream to a variable of the simulated organic life model or a variable of the simulated environment, and processing a simulation of the simulated organic life model in the simulated environment. The method may include altering one or more variables of the simulated organic life model based on one or more variables of the simulated environment, producing output data sets containing a continuum of data ranging from the data stream to predicted endpoint values for each data stream variable, and changing the simulated organic life model based on the altered one or more variables of the simulated organic life model.