A recent study evidenced that by using the same clinical parameters, machine learning techniques performed better than the European Randomized Study of Screening for Prostate Cancer (ERSPC) risk calculator (ERSPC-RC) or PSA density in clinically significant PCa predictions and could avoid up to 50% unnecessary biopsies [52]. The gene discussed is KLK3; the disease is Familial prostate cancer.