Machine learning algorithms trained on pharmacogenomic datasets have achieved 94% accuracy in predicting optimal drug release profiles for individual patients, according to 2026 clinical validation studies from the National Institute of Pharmaceutical Education and Research. This predictive capability is being integrated directly into 3D printing software, allowing real-time...