Leveraging Machine Learning to Hone Treatment Planning, Real-Time Clinical Feedback

The proliferation of artificial intelligence in healthcare has led to increased interest in more advanced computing and analytics technologies, such as machine learning, for medical research and clinical care. Machine learning, in particular, may help researchers gain insights into human diseases through the use of biomedical simulation and high-performance computing. Amanda Randles, an Assistant Professor of Biomedical Sciences at Duke University, discusses these applications and how machine learning can help improve treatment planning and allow real-time feedback for physicians.