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This paper proposes a general framework for probabilistic certification ofcancer therapies. The certification is defined in terms of two key issues whichare the tumor contraction and the lower admissible bound on the circulatinglymphocytes which is viewed as indicator of the patient health. Thecertification is viewed as the ability to guarantee with a predefined highprobability the success of the therapy over a finite horizon despite of theunavoidable high uncertainties affecting the dynamic model that is used tocompute the optimal scheduling of drugs injection. The certification paradigmcan be viewed as a tool for tuning the treatment parameters and protocols aswell as for getting a rational use of limited or expensive drugs. The proposedframework is illustrated using the specific problem of combinedimmunotherapy/chemotherapy of cancer.

On Probabilistic Certification of Combined Cancer Therapies Using Strongly Uncertain Models