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On this episode of UroNurse News, host Vic Senese, RN, BSN, FAUNA, dives into a groundbreaking development from Harvard Medical School—an AI tool called PDGrapher that can identify treatments capable of reversing disease states in cells. Unlike traditional drug discovery, which often tests one drug or protein target at a time, PDGrapher focuses on multiple disease drivers and predicts the most promising genes and treatment targets to restore healthy cell function. This approach could accelerate drug discovery, optimize therapies for complex diseases like cancer, and even pave the way for personalized medicine. In this episode, we break down how PDGrapher works, including its use of graph neural networks to map gene and protein interactions, test predictions across 11 cancer types, and identify both known and new potential therapeutic targets. We also explore how this AI model could impact future treatments for Parkinson’s, Alzheimer’s, and rare diseases. 🔔 Subscribe to UroNurse for the latest updates: / @uronurse1 The expert's opinions in this communication are personal and not representative of any organization. They are for informational purposes only, not official guidance. Viewers are advised to use their judgment, seek additional advice, and take responsibility for any actions based on these opinions.