Process, computer-accessible medium and system for generating a biological model associated with disease

A method for treating a cancer in at least one patient, comprising:

• obtaining a plurality of states associated with the cancer based on a state of a biological process;
• performing at least one test action on the at least one patient, wherein the at least one test action includes a therapeutic action from a therapeutic plan;
• performing at least one control action on the at least one patient after performing the at least one test action, wherein the at least one control action includes at least one of at least one drug or at least one medical test;
• establishing a plurality of transitions between at least one subset of the states, wherein at least one of the transitions includes at least one time-based attribute which includes multiple variable clock rates, each of the variable clock rates having its own respective constraint, and wherein each of the variable clock rates is based on (i) the at least one test action, and (ii) the at least one control action;
• generating a hybrid automata model from the states and transitions;
• determining at least one therapy by comparing the hybrid automata model to a plurality of further hybrid automata models contained in at least one database;
• applying the at least one therapy to the at least one patient.

A system for directing an application of at least one therapy for use in treating a cancer in at least one patient, comprising:

• a computer hardware arrangement configured to perform procedures, comprising:
• obtaining a plurality of states associated with the cancer based on a state of a biological process;
• performing at least one test action on the at least one patient, wherein the at least one test action includes a therapeutic action from a therapeutic plan;
• performing at least one control action on the at least one patient after performing the at least one test action, wherein the at least one control action includes at least one of at least one drug or at least one medical test;
• establishing a plurality of transitions between at least one subset of the states, wherein at least one of the transitions includes at least one time-based attribute which includes multiple variable clock rates, each of the variable clock rates having its own respective constraint, and wherein each of the variable clock rates is based on (i) the at least one test action and (ii) the at least one control action;
• generating a hybrid automata from the states and transitions;
• determining the at least one therapy by comparing the hybrid automata model to a plurality of further hybrid automata models contained in at least one database;
• and
• directing the application of the at least one therapy to treat the cancer in the at least one patient.