This study aimed to integrate serum PSA-related indicators with TRUS imaging features, employing six machine learning algorithms to develop predictive models for early, non-invasive prostate cancer diagnosis suitable for facilitating timely intervention and patient treatment. This evidence concerns the gene KLK3 and Familial prostate cancer.