KLK3 and pachyonychia congenita: Their findings indicate an accuracy of ~85% for distinguishing between PC and BPHBy integrating patient age and prostate-specific antigen (PSA) levels into their multimodal CNN approach, the classification accuracy improved significantly to over 88% (169).