Hubble PSO Computational Model for Treating Warts Diseases Using Immunotherapy

Abstract

Wart is an area or volume of growth with an irregular pattern with rough appearance which can appear in any part of the body. In appearance it is similar to a small bubble in the skin with seven inside that bubble. It is caused by a virus , which is named after human papilloma virus family. There are many ways to treat this disease, but only few are efficient enough to eradicate the diseases from the patient suffering from the diseases. One of the treatment is Immunotherapy, which is defined as a therapy which makes use of substances to stimulate or suppress the immune system of human to fight against this virus. Few types of immunotherapy only targets a particular kind of cells of the immune system but the other types affects the whole immune system in general. Immunotherapy is well-established in malignancies in cancer. But now it can also be used in infectious diseases as well. Usually treatment for warts include surgical intervention and lasers ,canthirin, 5-fluro, uracil etc. Due to the heaviness of the above mentioned treatment and a high risk of recurrence, immunotherapy is becoming popular especially in some types of warts namely refractory cutaneous and genital warts. We use a computational model to prove that the immunotherapy is more efficient to treat warts diseases that the treatment for warts is more efficient

Keywords: PSO, Optimization