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Long-term effectiveness of BPH/LUTS pharmacological therapies and using machine learning based predictive analytics to tailor treatment

This project will compare the effectiveness of pharmacological therapy for benign prostatic hyperplasia/lower urinary tract symptoms in preventing long-term disease progression and will develop and validate predictive models using demographic, clinical, and laboratory data available at the time of benign prostatic hyperplasia/lower urinary tract symptoms diagnosis to identify patients at increased risk of long-term disease progression.

Investigator: Van Den Eeden, Stephen

Funder: National Institute of Diabetes and Digestive and Kidney Diseases

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