Abstract
Early detection of cancer may not only substantially reduce the overall health care costs but also reduce the long term morbidity and death from cancer. Although there are screening techniques available for prostate cancer, they all have practical limitations. In this paper, a new screening technique for prostate cancer is discussed. This technique applies artificial intelligence on the chemical analytical data of human scalp hair. Our study shows that it is possible to reveal relationship among hair trace elements and to establish correlation of multi element to prostate cancer etiology.