Topic: Hematuria

Microscopic Hematuria Evaluation Stratification: A Machine Learning Approach

Alexandria M. Hertz, MD, a resident physician and clinical teaching fellow at the Madigan Army Medical Center, discusses her team’s investigation of machine learning algorithms to improve risk evaluation for microscopic hematuria. She briefly reviews the current outdated approaches and their results, including as low as a 1% detection of malignancy with a 5-7% chance of UTIs, radiation exposure, or other negative outcomes. Dr. Hertz then outlines her retrospective review of 229 microscopic hematuria patients, which used a variety of classifications and algorithms to improve the timing and selection of patients for microscopic hematuria evaluation. The results of this study, specifically the criteria in the medium tree classifier, provide a promising first step in using machine learning to improve this process.

Read More

Haemocomponents for Non Transfusional Use: Biological Aspects and New Urological Clinical Applications

Pierluigi Bove, MD, discusses the urological applications of haemocomponents, specifically using fibrin glue in the management of hemorrhagic cystitis. He explains the possibility of managing chronic cystitis, bladder pain syndrome, and chronic pelvic pain with platelet-rich plasma (PRP). Furthermore, he describes his upcoming project to test the effects of hyaluronic acid and PRP on the human epithelium.

Read More

Join the GRU Community

- Why Join? -