US US2025356978A1
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.
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