Lately, a lot of new illnesses are frequently observed in our societies, that it can be avoid by daily visits to the doctor. Cancer is one of these illnesses where patients discover it only when it is too late. In this work we propose an artificial Cancer diagnostic which can classify patients if they are affected by Cancer or no, for this goal we have developed the artificial immune system for Cancer diagnostic. The artificial immune system is one of the newest approaches used in several domains as pattern recognition, robotic, intrusion detection, illnesses diagnostic…a lot of methods are exposed as negative selection, clone selection and artificial immune network (AINet). In this paper we’ll present the natural immune system, we’ll develop also four versions of Artificial Immune Recognition System (AIRS) and after we’ll present results for Cancer diagnostic with some critics and remarks of these methods.