A
system and method are herein disclosed. The
system and method use a generative AI agent to analyze and identify synergistic blends of natural compounds for combination therapies by leveraging an array of specialized
modes to access data from a multitude of sources including patient
medical history (including test results,
drug history, and imaging) to improve the
efficacy of compounds, including
traditional medicine, in line with
combination therapy principles, aimed at: enhanced
efficacy, decreased
toxicity, improved dosage, and reduced
drug resistance. In this way, the generative AI agent determines cross-therapeutic similarities and / or dissimilarities between pharmaceutical, naturopathic, homeopathic, and
nutraceutical compounds along a plurality of compound property vectors such as efficiency,
efficacy,
toxicity, effects, side-effects,
chemistry,
pharmacology,
pharmacokinetics, mechanisms of action, and
pharmacodynamics, thereby enabling the proposition of cross-disciplinary and transdisciplinary therapeutic analyses and the identification of synergistic effects in combination therapies.