e23004 Background: With the integration of artificial intelligence and machine learning into clinical trials in oncology, the development of the oncology field has entered a transition period from precision medicine to artificial intelligence medicine. To better apply artificial intelligence and big data to clinical trials in oncology, we developed a clinical research support system called the Dice of Clinical Trials. Combining the principles of mathematical permutation and combination in the selection of drugs and treatment models via theoretical oncology, the Dice of Clinical Trials provided the basis for alternative intervention plans in clinical trials in oncology. Methods: On the basis of the current anticancer treatment options, modalities, types, prognostic indicators, tumor types and principles of theoretical oncology, permutations and combinations were conducted via the Dice of Clinical Trials. According to the results of published research and clinical trials, information such as the mutual influence and incompatibility of drugs in absorption, distribution, metabolism and excretion can be e
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