Researchers developed an algorithm estimating a person's risk of developing prostate cancer based on age and the levels of two prostate cancer markers, PSA and hK2 (human kalliknein peptidase). They found that, by setting a risk threshold above which men are counted as 'screen positive', the approach would reduce the number of false positives by three quarters compared to a standard PSA test, while catching the same proportion of cancers.